Alternatives to Microsoft MCP Gateway

ContextForge MCP Gateway serves as an open-source platform that functions as a Model Context Protocol (MCP) gateway, registry, and proxy, offering a consolidated endpoint for artificial intelligence clients to find and utilize tools, resources, prompts, as well as REST or MCP services within intricate AI ecosystems. This solution operates in front of various MCP servers and REST APIs, facilitating federated and unified processes for discovery, authentication, rate-limiting, observability, and traffic management across numerous back-end systems, while accommodating multiple transport methods like HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP; it also has the capability to transform legacy APIs into MCP-compliant tools. Additionally, the platform features an optional Admin UI that enables users to configure, monitor, and access logs in real time, and it is architected to scale efficiently, from single-instance deployments to expansive multi-cluster Kubernetes setups, utilizing Redis for federation and caching to enhance both performance and resilience. In this way, the ContextForge MCP Gateway not only simplifies the interaction within complex AI architectures but also ensures robust functionality and adaptability across various operational environments.

agentgateway is an AI-native gateway built to manage, secure, and observe modern AI and agentic systems. It acts as a centralized control plane for LLMs, AI agents, and tool servers using protocols like MCP and A2A. Designed specifically for AI workloads, agentgateway supports connectivity patterns that legacy gateways cannot. The platform provides secure LLM access, preventing data leaks, malicious prompts, and uncontrolled usage. Enterprises gain full visibility into how models, agents, and tools interact across the ecosystem. agentgateway simplifies governance with centralized policy enforcement and access control. It also enables consistent observability using standards like OpenTelemetry. As an open-source project hosted by the Linux Foundation, it promotes vendor-neutral interoperability. agentgateway helps organizations scale AI responsibly and securely. It delivers a future-ready foundation for agentic connectivity.

Obot functions as an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway, providing organizations with a centralized control system to discover, onboard, manage, secure, and scale MCP servers, which facilitate the connection of large language models and AI agents to various enterprise systems, tools, and data sources. It incorporates an MCP gateway, a catalog, an administrative console, and an optional integrated chat interface, all within a modern design that works seamlessly with identity providers like Okta, Google, and GitHub to implement access control, authentication, and governance policies across MCP endpoints, thus ensuring that AI interactions remain secure and compliant. Moreover, Obot empowers IT teams to host both local and remote MCP servers, manage access through a secure gateway, establish detailed user permissions, log and audit usage effectively, and create connection URLs for LLM clients, including tools like Claude Desktop, Cursor, VS Code, or custom agents, enhancing operational flexibility and security. Additionally, this platform streamlines the integration of AI services, making it easier for organizations to leverage advanced technologies while maintaining robust governance and compliance standards.

Lunar.dev serves as a comprehensive AI gateway and API consumption management platform designed to empower engineering teams with a singular, integrated control interface for overseeing, regulating, safeguarding, and enhancing all outbound API and AI agent interactions. This includes tracking communications with large language models, utilizing Model Context Protocol tools, and interfacing with external services across various distributed applications and workflows. It offers instantaneous insights into usage patterns, latency issues, errors, and associated costs, enabling teams to monitor every interaction involving models, APIs, and agents in real time. Furthermore, it allows for the enforcement of policies such as role-based access control, rate limiting, quotas, and cost management measures to ensure security and compliance while avoiding excessive usage or surprise expenses. By centralizing the management of outbound API traffic through features like identity-aware routing, traffic inspection, data redaction, and governance, Lunar.dev enhances operational efficiency. Its MCPX gateway further streamlines the management of multiple Model Context Protocol servers by integrating them into a single secure endpoint, providing robust observability and permission oversight for AI tools. Thus, the platform not only simplifies the complexity of API management but also significantly boosts the ability of teams to harness AI technologies effectively.

kgateway is a widely deployed Kubernetes gateway designed to power modern microservices and AI-driven workloads. It serves as a control plane for advanced ingress, API management, and AI gateway use cases. Built on Envoy and open-source foundations, kgateway implements the Kubernetes Gateway API for consistent, cloud-native connectivity. The platform aggregates APIs and applies authentication, authorization, and rate limiting in one centralized layer. Kgateway also protects AI models, tools, and agents by securing LLM consumption and data access. Intelligent routing capabilities support AI inference workloads directly inside Kubernetes clusters. The platform scales from lightweight microgateways to massively parallel centralized gateways. Kgateway supports agent-to-agent and MCP-based communication through a single secure endpoint. It enables omni-directional API connectivity across hybrid and multi-cloud environments. Kgateway helps organizations innovate faster while maintaining security and governance.

Peta serves as an advanced control plane for the Model Context Protocol (MCP), streamlining, securing, governing, and overseeing how AI clients and agents interact with external tools, data, and APIs. This platform integrates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and comprehensive audit logging into a cohesive solution, enabling organizations to implement nuanced access controls, safeguard raw credentials, and monitor all tool interactions conducted by AI systems. At the heart of Peta is Peta Core, which functions as both a secure vault and gateway, encrypting credentials, generating short-lived service tokens, verifying identity and compliance with policies for each request, managing the MCP server lifecycle through lazy loading and auto-recovery, and injecting credentials during runtime without revealing them to agents. Additionally, the Peta Console empowers teams to specify which users or agents can access particular MCP tools within designated environments, establish approval protocols, manage tokens, and review usage statistics and associated costs. This multifaceted approach not only enhances security but also fosters efficient resource management and accountability within AI operations.

The NGINX Service Mesh, which is always available for free, transitions effortlessly from open source projects to a robust, secure, and scalable enterprise-grade solution. With NGINX Service Mesh, you can effectively manage your Kubernetes environment, utilizing a cohesive data plane for both ingress and egress, all through a singular configuration. The standout feature of the NGINX Service Mesh is its fully integrated, high-performance data plane, designed to harness the capabilities of NGINX Plus in managing highly available and scalable containerized ecosystems. This data plane delivers unmatched enterprise-level traffic management, performance, and scalability, outshining other sidecar solutions in the market. It incorporates essential features such as seamless load balancing, reverse proxying, traffic routing, identity management, and encryption, which are crucial for deploying production-grade service meshes. Additionally, when used in conjunction with the NGINX Plus-based version of the NGINX Ingress Controller, it creates a unified data plane that simplifies management through a single configuration, enhancing both efficiency and control. Ultimately, this combination empowers organizations to achieve higher performance and reliability in their service mesh deployments.

Solo Enterprise offers a comprehensive cloud-native application networking and connectivity solution that enables businesses to securely connect, scale, manage, and monitor APIs, microservices, and advanced AI workloads within distributed infrastructures, particularly in Kubernetes-based and multi-cluster environments. The platform's foundational features leverage open-source technologies such as Envoy and Istio, including Gloo Gateway, which facilitates omnidirectional API management by effectively handling external, internal, and third-party traffic while ensuring security, authentication, traffic routing, observability, and analytics. Additionally, Gloo Mesh provides a centralized control mechanism for multi-cluster service mesh, streamlining service-to-service connectivity and security across different clusters. Moreover, the Agentgateway and Gloo AI Gateway enable secure and governed traffic for LLM/AI agents, incorporating essential guardrails and integration capabilities to enhance functionality and security. This multifaceted approach ensures that enterprises can operate efficiently in a rapidly evolving technological landscape.

The Docker MCP Gateway is a fundamental open source element of the Docker MCP Catalog and Toolkit, designed to run Model Context Protocol (MCP) servers within isolated Docker containers that have limited privileges, restricted network access, and defined resource constraints, thereby providing secure and consistent environments for AI applications. This component oversees the complete lifecycle of MCP servers by launching containers as needed when an AI application requires a specific tool, injecting necessary credentials, enforcing security measures, and directing requests so that servers can effectively process them and deliver outcomes through a single, cohesive gateway interface. By positioning all operational MCP containers behind one unified access point, the Gateway enhances the ease with which AI clients can discover and utilize various MCP services, minimizing redundancy, boosting performance, and centralizing aspects of configuration and authentication. In essence, it streamlines the interaction between AI applications and multiple services, fostering a more efficient development process and elevating overall system security.

Kuma is an open-source control plane designed for service mesh that provides essential features such as security, observability, and routing capabilities. It is built on the Envoy proxy and serves as a contemporary control plane for microservices and service mesh, compatible with both Kubernetes and virtual machines, allowing for multiple meshes within a single cluster. Its built-in architecture supports L4 and L7 policies to facilitate zero trust security, traffic reliability, observability, and routing with minimal effort. Setting up Kuma is a straightforward process that can be accomplished in just three simple steps. With Envoy proxy integrated, Kuma offers intuitive policies that enhance service connectivity, ensuring secure and observable interactions between applications, services, and even databases. This powerful tool enables the creation of modern service and application connectivity across diverse platforms, cloud environments, and architectures. Additionally, Kuma seamlessly accommodates contemporary Kubernetes setups alongside virtual machine workloads within the same cluster and provides robust multi-cloud and multi-cluster connectivity to meet the needs of the entire organization effectively. By adopting Kuma, teams can streamline their service management and improve overall operational efficiency.

DeployStack is an enterprise-oriented management platform for Model Context Protocol (MCP) that aims to centralize, secure, and enhance the governance of MCP servers and AI tools within organizations. It features a unified dashboard that allows for the management of all MCP servers, incorporating centralized credential vaulting to eliminate the need for scattered API keys and manual configuration files, while also implementing role-based access control, OAuth2 authentication, and top-tier encryption to ensure secure enterprise operations. The platform provides detailed usage analytics and observability, delivering real-time insights into the utilization of MCP tools, including user access patterns and frequency, alongside comprehensive audit logs to support compliance and visibility into costs. Additionally, DeployStack optimizes token and context window management, enabling Large Language Model (LLM) clients to utilize significantly fewer tokens by employing a hierarchical routing system for accessing multiple MCP servers, thus maintaining model performance without compromise. This innovative approach not only streamlines operations but also empowers organizations to efficiently manage their AI resources while ensuring security and compliance.

Manage and connect applications seamlessly across various clusters, cloud environments, and data centers. Facilitate application connectivity across diverse infrastructures using a unified management platform. Incorporate traditional workloads into your cloud-native application framework effectively. Establish tenants within your organization to implement detailed access controls and editing permissions for teams sharing the infrastructure. Keep track of the change history for services and shared resources from the very beginning. Streamline traffic management across failure domains, ensuring your customers remain unaware of any disruptions. TSB operates at the application edge, functioning at cluster ingress and between workloads in both Kubernetes and traditional computing environments. Edge and ingress gateways efficiently route and balance application traffic across multiple clusters and clouds, while the mesh framework manages service connectivity. A centralized management interface oversees connectivity, security, and visibility for your entire application network, ensuring comprehensive oversight and control. This robust system not only simplifies operations but also enhances overall application performance and reliability.

Prefect Horizon serves as a managed AI infrastructure platform within the extensive Prefect product ecosystem, enabling teams to deploy, govern, and manage Model Context Protocol (MCP) servers and AI agents on an enterprise level with essential production-ready capabilities like managed hosting, authentication, access control, observability, and governance of tools. By leveraging the FastMCP framework, it transforms MCP from merely a protocol into a comprehensive platform featuring four integrated core components: Deploy, which facilitates the rapid hosting and scaling of MCP servers through CI/CD and monitoring; Registry, which acts as a centralized repository for first-party, third-party, and curated MCP endpoints; Gateway, which provides role-based access control, authentication, and audit logs to ensure secure and governed access to tools; and Agents, which offer user-friendly interfaces that can be deployed in Horizon, Slack, or accessible via MCP, allowing business users to engage with context-aware AI without requiring technical expertise in MCP. This multifaceted approach ensures that organizations can effectively harness AI capabilities while maintaining robust governance and security protocols.

MintMCP serves as a robust Model Context Protocol (MCP) gateway and governance solution designed for enterprises, offering a centralized approach to security, observability, authentication, and compliance for AI tools and agents that interface with internal data, systems, and services. This platform empowers organizations to deploy, oversee, and manage their MCP infrastructure on a large scale, providing real-time insights into each MCP tool interaction while implementing role-based access control and enterprise-level authentication, all while ensuring comprehensive audit trails that adhere to regulatory standards. Functioning as a proxy gateway, MintMCP effectively aggregates connections from various AI assistants, including ChatGPT, Claude, and Cursor, streamlining monitoring processes, mitigating risky behaviors, managing credentials securely, and enforcing detailed policy measures without necessitating individual security implementations for each tool. By centralizing these functions, MintMCP not only enhances operational efficiency but also fortifies the security posture of organizations leveraging AI technologies.

Storm MCP serves as an advanced gateway centered on the Model Context Protocol (MCP), facilitating seamless connections between AI applications and multiple verified MCP servers through a straightforward one-click deployment process. It ensures robust enterprise-level security, enhanced observability, and easy integration of tools without the need for extensive custom development. By standardizing AI connections and only exposing specific tools from each MCP server, it helps minimize token consumption and optimizes the selection of model tools. With its Lightning deployment feature, users can access over 30 secure MCP servers, while Storm efficiently manages OAuth-based access, comprehensive usage logs, rate limitations, and monitoring. This innovative solution is crafted to connect AI agents to external context sources securely, allowing developers to sidestep the complexities of building and maintaining their own MCP servers. Tailored for AI agent developers, workflow creators, and independent innovators, Storm MCP stands out as a flexible and configurable API gateway, simplifying infrastructure challenges while delivering dependable context for diverse applications. Its unique capabilities make it an essential tool for those looking to enhance their AI integration experience.

TrueFoundry is an Enterprise Platform as a service that enables companies to build, ship and govern Agentic AI applications securely, at scale and with reliability through its AI Gateway and Agentic Deployment platform. Its AI Gateway encompasses a combination of - LLM Gateway, MCP Gateway and Agent Gateway - enabling enterprises to manage, observe, and govern access to all components of a Gen AI Application from a single control plane while ensuring proper FinOps controls. Its Agentic Deployment platform enables organizations to deploy models on GPUs using best practices, run and scale AI agents, and host MCP servers - all within the same Kubernetes-native platform. It supports on-premise, multi-cloud or Hybrid installation for both the AI Gateway and deployment environments, offers data residency and ensures enterprise-grade compliance with SOC 2, HIPAA, EU AI Act and ITAR standards. Leading Fortune 1000 companies like Resmed, Siemens Healthineers, Automation Anywhere, Zscaler, Nvidia and others trust TrueFoundry to accelerate innovation and deliver AI at scale, with 10Bn + requests per month processed via its AI Gateway and more than 1000+ clusters managed by its Agentic deployment platform. TrueFoundry’s vision is to become the Central control plane for running Agentic AI at scale within enterprises and empowering it with intelligence so that the multi-agent systems become a self-sustaining ecosystem driving unparalleled speed and innovation for businesses. To learn more about TrueFoundry, visit truefoundry.com.

Preloop serves as an open-source control plane designed for AI agents that perform tangible actions. It integrates a multi-layered security approach featuring an MCP firewall for managing tool access, an AI model gateway that ensures cost-effectiveness, safety, and accountability, along with policy-as-code that incorporates human oversight, all while providing runtime session visibility and audit trails—all within a self-hosted environment. Given the rapid capabilities of AI agents to deploy code, modify infrastructure, manage financial transactions, access production data, and incur model costs almost instantaneously, Preloop empowers teams to regulate agent activities, monitor expenditures, and determine which actions necessitate human consent. It is compatible with a variety of tools such as OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any agents that adhere to MCP standards. Additionally, access rules can evaluate not only the tool names but also arguments and context, utilizing CEL expressions to establish detailed conditions. Furthermore, teams have the flexibility to initiate with observability features and progressively introduce approval and denial protocols without the need for SDKs or extensive modifications to existing applications, thus streamlining the implementation process. This comprehensive approach ensures that organizations remain in control of their AI agents' functionalities and impacts.

Headscale serves as an open-source, self-managed version of the control server utilized by the Tailscale network, allowing users to maintain complete ownership of their private tailnets while employing Tailscale clients. It offers capabilities for registering users and nodes, generating pre-authentication keys, advertising subnet routes and exit nodes, enforcing access controls, and integrating with identity providers like OIDC/SAML for user authentication. The server can be deployed using Debian/Ubuntu packages or as standalone binaries and is configurable through a YAML file, with management options available via its command-line interface or REST API. Headscale maintains a comprehensive database that tracks each node, route, and user, supports workflows for route approvals, and offers features such as subnet routing, the designation of exit nodes, and direct node-to-node connections within the tailnet. By being self-hosted, it empowers organizations and enthusiasts to retain complete control over their private network endpoints, encryption keys, and traffic flows, eliminating reliance on a commercial control plane. This level of control not only enhances security but also provides flexibility for users to customize their networking solutions according to their specific needs.

Azure Route Server facilitates the dynamic exchange of routing information between network appliances and Azure virtual networks. By setting up your network appliances along with Azure ExpressRoute and VPN gateways, you can automatically receive the most current route information from Azure Route Server, eliminating the need for manual configuration of each connection. This tool allows for dynamic routing between your network appliances and Azure gateways, replacing the traditional static routing method. Azure Route Server operates using Border Gateway Protocol (BGP) endpoints, which utilize standard routing protocols for effective route exchanges. Furthermore, it seamlessly integrates with both existing and new deployments, accommodating various network architectures like hub and spoke, full mesh, or flat virtual networks, ensuring flexibility and efficiency in network management. This capability enhances the overall performance and reliability of your network infrastructure.

Webrix MCP Gateway serves as a comprehensive infrastructure for enterprises aiming to integrate AI solutions securely, allowing for seamless connections between various AI agents (such as Claude, ChatGPT, Cursor, and n8n) and internal systems on a large scale. Utilizing the Model Context Protocol standard, Webrix presents a unified secure gateway that tackles the primary hurdle hindering AI adoption: security apprehensions related to tool accessibility. Key features include: - Centralized Single Sign-On (SSO) and Role-Based Access Control (RBAC) – This allows employees to connect to authorized tools immediately, bypassing the need for IT ticket requests. - Universal agent compatibility – The platform supports any AI agent that complies with the MCP standard. - Robust enterprise security – Encompasses audit logs, credential management, and strict policy enforcement. - Self-service functionality – Employees can effortlessly access internal resources (like Jira, GitHub, databases, and APIs) through their chosen AI agents without requiring manual setups. By addressing the essential challenge of AI integration, Webrix empowers your workforce with the necessary AI capabilities while ensuring robust security, oversight, and compliance. Whether you choose to deploy it on-premise, within your cloud infrastructure, or utilize our managed services, Webrix adapts to fit your organization's needs.

MCPTotal is a robust, enterprise-level solution that facilitates the management, hosting, and governance of MCP (Model Context Protocol) servers and AI-tool integrations within a secure, audit-friendly framework, rather than allowing them to operate haphazardly on developers' local machines. The platform features a “Hub,” which serves as a centralized, sandboxed runtime space where MCP servers are securely containerized, fortified, and thoroughly vetted for potential vulnerabilities. Additionally, it includes an integrated “MCP Gateway” that functions as an AI-focused firewall, capable of real-time inspection of MCP traffic, enforcing security policies, tracking all tool interactions and data movements, and mitigating typical threats like data breaches, prompt-injection attempts, and improper credential use. Security measures are further enhanced through the secure storage of all API keys, environment variables, and credentials in an encrypted vault, effectively preventing credential sprawl and the risks associated with storing sensitive information in plaintext on personal devices. Furthermore, MCPTotal empowers organizations with discovery and governance capabilities, allowing security teams to conduct scans on both desktop and cloud environments to identify the active use of MCP servers, thus ensuring comprehensive oversight and control. Overall, this platform represents a significant advancement in the management of AI resources, promoting both security and efficiency within enterprises.

The PSX Software Edition (PSX SWe) from Ribbon is a centralized and virtualized policy and routing solution tailored for service providers to effectively manage and enhance VoIP services in a variety of network settings. It offers advanced session control for session border controllers (SBCs), media gateways, and call controllers, accommodating a wide range of protocols, including SIP, ENUM, H.323, TDM, SS7/C7, IN/AIN, and IMS. Thanks to its distributed architecture, service providers can set up local instances that improve performance and resilience while still upholding centralized control over policy, routing, and administration, thus removing the complexities of synchronization across multiple locations. Prominent applications feature Least Cost Routing (LCR), Quality of Service (QoS) routing, toll-free number routing, and number translation services, all of which enhance operational efficiency. Moreover, the PSX SWe serves as an IMS Breakout Gateway Control Function (BGCF) and incorporates call validation treatment for STIR/SHAKEN along with Reputation Scoring services, effectively reducing the risk of call spoofing. This multi-faceted approach ensures that VoIP services remain reliable and secure, ultimately benefiting both providers and end-users.

Gate22 serves as a robust AI governance and Model Context Protocol (MCP) control platform designed for enterprises, centralizing the security and oversight of how AI tools and agents interact with MCP servers within an organization. It empowers administrators to onboard, configure, and regulate both internal and external MCP servers, offering detailed permissions at the functional level, team-based access control, and role-specific policies to ensure that only sanctioned tools and functionalities are accessible to designated teams or users. By providing a cohesive MCP endpoint, Gate22 aggregates multiple MCP servers into an intuitive interface featuring just two primary functions, leading to reduced token consumption for developers and AI clients, while effectively minimizing context overload and ensuring both precision and security. The administrative interface includes a governance dashboard that allows for the monitoring of usage trends, compliance maintenance, and enforcement of least-privilege access, while the member interface facilitates streamlined and secure access to authorized MCP bundles. This dual-view approach not only enhances operational efficiency but also strengthens overall security within the organizational framework.

Linkerd enhances the security, observability, and reliability of your Kubernetes environment without necessitating any code modifications. It is fully Apache-licensed and boasts a rapidly expanding, engaged, and welcoming community. Constructed using Rust, Linkerd's data plane proxies are remarkably lightweight (under 10 MB) and exceptionally quick, achieving sub-millisecond latency for 99th percentile requests. There are no convoluted APIs or complex configurations to manage. In most scenarios, Linkerd operates seamlessly right from installation. The control plane of Linkerd can be deployed into a single namespace, allowing for the gradual and secure integration of services into the mesh. Additionally, it provides a robust collection of diagnostic tools, including automatic mapping of service dependencies and real-time traffic analysis. Its top-tier observability features empower you to track essential metrics such as success rates, request volumes, and latency, ensuring optimal performance for every service within your stack. With Linkerd, teams can focus on developing their applications while benefiting from enhanced operational insights.

Effortless traffic management for your service mesh. A service mesh is a robust framework that has gained traction for facilitating microservices and contemporary applications. Within this framework, the data plane, featuring service proxies such as Envoy, directs the traffic, while the control plane oversees policies, configurations, and intelligence for these proxies. Google Cloud Platform's Traffic Director acts as a fully managed traffic control system for service mesh. By utilizing Traffic Director, you can seamlessly implement global load balancing across various clusters and virtual machine instances across different regions, relieve service proxies of health checks, and set up advanced traffic control policies. Notably, Traffic Director employs open xDSv2 APIs to interact with the service proxies in the data plane, ensuring that users are not confined to a proprietary interface. This flexibility allows for easier integration and adaptability in various operational environments.

Proxifier enables network applications that typically lack support for proxy servers to function effectively via a SOCKS or HTTPS proxy, including complex chaining options. It facilitates the redirection of connections from any internet-enabled application, such as browsers, email clients, databases, and games, through a proxy server. Additionally, it allows for the management of resource access, ensuring that all connections funnel through a singular entry point, which simplifies remote updates to multiple configurations. The software optimizes internet traffic routing by taking advantage of quicker pathways, serving as a lightweight and adaptable alternative to traditional VPNs while securing your connections through encrypted tunnels. By utilizing a proxy as a gateway for your online activities, Proxifier enables users to assign unique proxies or chains to specific connections through its rule-based system. Consistently updated to support the latest operating systems, including Windows 11 and macOS Ventura, Proxifier is a native C++ application that boasts no third-party dependencies, with a compact installer size of just 4 MB, making it both efficient and easy to deploy. This reliability and versatility make Proxifier an essential tool for users looking to enhance their network connectivity options.

MCP-Use is an open-source platform designed for developers that provides an array of SDKs, cloud infrastructure, and an intuitive control interface to facilitate the creation, management, and deployment of AI agents utilizing the Model Context Protocol (MCP). The platform allows connections to various MCP servers, each offering distinct tool functionalities such as web browsing, file handling, or specialized third-party integrations, all accessible through a single, unified MCPClient. Developers are empowered to build custom agents (using MCPAgent) that can intelligently choose the most suitable server for each specific task by leveraging configurable pipelines or a built-in server management system. By streamlining processes like authentication, managing access control, audit logging, observability, and creating sandboxed runtime environments, it ensures that both self-hosted and managed MCP developments are primed for production use. Moreover, MCP-Use enhances the development experience by integrating with well-known frameworks such as LangChain (Python) and LangChain.js (TypeScript), significantly speeding up the process of building AI agents equipped with diverse tools. In addition, its user-friendly architecture encourages developers to innovate and experiment with new AI functionalities more efficiently.

Devtron serves as an AI-driven, Kubernetes-centric DevOps platform that aims to streamline and integrate the entire application delivery lifecycle, infrastructure oversight, and operational tasks within a singular control interface. By merging essential DevOps functionalities, including CI/CD, GitOps, security measures, observability, cost oversight, and debugging tools, it removes the hassle of juggling various disjointed tools and dashboards. This platform functions as a unified control layer for Kubernetes settings, empowering teams to deploy, monitor, manage, and resolve issues with applications across multi-cloud or on-premises clusters, all while ensuring comprehensive visibility and governance. Additionally, it features Kubernetes-native CI/CD pipelines with no-code workflows, orchestration across multiple environments, approval-based deployments, and reusable templates, facilitating quicker and more dependable software delivery while minimizing manual tasks. Thus, organizations can achieve greater efficiency and consistency in their development processes.

The JRR200 Route Reflector Appliance is an excellent choice for service providers, data centers, and enterprise networks that manage extensive routing tables. It offers 10-GbE connectivity within a compact design, making it ideal for environments where space and power are limited. By implementing this appliance, you can streamline your network and lower operational expenses across various applications, such as cloud services and distributed metro or data center networks. Featuring the Junos OS control plane, the JRR200 ensures robust BGP control with a wealth of features. You are not required to compromise between tailored servers and hypervisor software or deal with the hassle of separate hardware and software support. Additionally, with its Zero Touch Provisioning (ZTP) capability, the JRR200 accelerates the process of setting up new deployments, making it more efficient. Experience carrier-grade reliability across all applications while also simplifying your network architectures and operations significantly with local 1GbE wire speed. Furthermore, the JRR200's versatile design allows it to adapt to various networking demands, ensuring that it remains a valuable asset in any tech infrastructure.

Alianza's Perimeta Session Border Controller (SBC) is a cloud-native and entirely software-based solution tailored to deliver secure, scalable, and adaptable voice and multimedia communication services. This SBC accommodates a range of deployment options, including VoLTE, VoNR, SIP trunking, and direct routing for Microsoft Teams, making it ideal for fixed-line, wireless, and enterprise interconnect scenarios. Operating on a zero-trust security framework, Perimeta provides exceptional protection for cloud infrastructures. Its innovative separation of media and signaling planes facilitates precise scaling in response to fluctuating demands. Additionally, it incorporates a secure distribution engine (SDE) for efficient load balancing and distributed admission management (DAM), which simplifies large-scale deployments. Compatible with various cloud environments—public, private, and hybrid—the SBC can be implemented on platforms like AWS, Azure, OpenStack, VMware, and ATCA hardware. This versatility ensures organizations can choose the optimal environment for their specific needs, enhancing operational efficiency and security.

KProxy serves as a simple web and browser proxy tool, available as both a web application and a Chrome/Firefox extension, which enables users to circumvent content restrictions and access blocked or censored sites by disguising their actual IP address and making their connections appear as standard HTTPS traffic, capable of functioning even in highly regulated environments such as schools, workplaces, or libraries. With just a single click, users can alter their IP location, rapidly switch servers to dodge stringent filtering measures, and channel their browser traffic—and in certain instances, other system-level traffic through its extension—through its proxy without the need for intricate configurations or sign-ups. The extension is designed to integrate smoothly with the user’s browsing experience, making it easy to forget that a proxy is being utilized, while the web interface facilitates quick access by simply entering a URL. KProxy also includes session management features to manage traffic on its free servers, which may occasionally lead to waiting times or disconnections, while its premium service removes these limitations and provides access to a broader array of server locations, enhancing the user experience further. This combination of features makes KProxy an attractive option for anyone seeking to maintain their online privacy and access a wider range of content.

FastMCP is a Python-based open-source framework designed to facilitate the development of Model Context Protocol (MCP) applications, simplifying the creation, management, and interaction with MCP servers while managing the complexities of the protocol so that developers can concentrate on their core business logic. The Model Context Protocol (MCP) serves as a standardized method for enabling large language models to connect securely with tools, data, and services, and FastMCP offers a streamlined API that allows for easy implementation of this protocol with minimal boilerplate code by utilizing Python decorators for registering tools, resources, and prompts. To set up a typical FastMCP server, one would instantiate a FastMCP object, use decorators to mark Python functions as tools (which can be invoked by the LLM), and then launch the server with various built-in transport options such as stdio or HTTP; this setup enables AI clients to interact with your code seamlessly as if it were integrated into the model’s context. Additionally, FastMCP’s design promotes efficient development practices, allowing teams to quickly iterate on their applications while maintaining high standards of code quality and performance.

Pangolin serves as an open-source platform designed for identity-aware tunneled reverse-proxying, which allows users to securely expose applications from any location without the need to open inbound ports or set up a conventional VPN. It employs a distributed system consisting of globally positioned nodes that facilitate traffic routing through encrypted WireGuard tunnels, making it possible for devices behind NATs or firewalls to publicly host applications via a centralized dashboard. This unified dashboard enables users to manage various sites and resources throughout their infrastructure while also allowing for the definition of detailed access-control rules, including options such as SSO, OIDC, PINs, geolocation, and IP restrictions, along with monitoring real-time health and usage statistics. The platform accommodates both self-hosting options, available in Community or Enterprise editions, and a managed cloud service, functioning by deploying a lightweight agent on each site while the central control server manages ingress, traffic routing, authentication, and failover processes. Additionally, Pangolin’s architecture fosters a secure and efficient environment for developers and IT teams aiming to streamline application exposure and maintain robust security protocols.

Klavis AI delivers open source infrastructure designed to streamline the utilization, development, and expansion of Model Context Protocols (MCPs) for artificial intelligence applications. With MCPs, tools can be integrated dynamically at runtime in a uniform manner, which removes the requirement for preconfigured setups during the design phase. Klavis AI supplies secure and hosted MCP servers, which alleviates the burden of authentication management and client-side code. This platform facilitates integration with a diverse range of tools and MCP servers, ensuring flexibility and adaptability. Klavis AI's MCP servers are not only stable and trustworthy but are also hosted on dedicated cloud infrastructure, with support for OAuth and user-based authentication to ensure secure access and effective management of user resources. Furthermore, the platform features MCP clients available on Slack, Discord, and web interfaces, allowing users to access MCPs directly from these popular communication platforms. In addition, Klavis AI offers a standardized RESTful API for seamless interaction with MCP servers, empowering developers to incorporate MCP capabilities into their applications with ease. This comprehensive approach ensures that developers have the tools they need to efficiently harness the power of MCPs in their AI projects.

Codiac serves as a comprehensive platform designed for large-scale infrastructure management, featuring a cohesive control plane that simplifies aspects such as container orchestration, multi-cluster management, and dynamic configuration without requiring YAML files or GitOps. Its Kubernetes-driven closed-loop system efficiently automates various processes, including workload scaling, the creation of temporary clusters, blue/green and canary deployments, and innovative “zombie mode” scheduling that optimizes costs by powering down inactive environments. Users benefit from immediate ingress, domain, and URL management alongside the effortless integration of TLS certificates through Let’s Encrypt. Each deployment not only produces immutable system snapshots and maintains versioning for instantaneous rollbacks but also ensures compliance through audit-ready features. Security is bolstered by role-based access control (RBAC), finely tuned permissions, and comprehensive audit logs that adhere to enterprise standards, while integration with CI/CD pipelines, real-time logging, and observability dashboards grants complete visibility over all resources and environments, thereby enhancing operational efficiency. All these features work together to create a seamless user experience, making Codiac an invaluable tool for modern infrastructure challenges.

OpenSIPS is an open-source SIP proxy/server designed for handling voice, video, instant messaging, presence, and various other SIP extensions. This versatile signaling SIP server caters to carriers, telecom operators, and ITSPs, providing solutions for diverse applications such as Class 4 and Class 5 residential platforms, trunking and wholesale services, enterprise and virtual PBX systems, session border controllers, application servers, load balancers, IMS platforms, call centers, and much more. Its high throughput capability supports tens of thousands of calls per second and millions of simultaneous connections, making it a preferred choice for various SIP scenarios and services. OpenSIPS excels due to its flexible routing and integration options, which allow for custom routing logic through routing scripts and numerous interfacing APIs. With over 120 modules available, it facilitates effective application development for SIP handling, backend operations, and routing logic. Additionally, the 3.2 release of OpenSIPS underwent a thorough security audit, enhancing its safety and reliability for users across the board. This robust framework not only meets current demands but also continuously evolves to address future challenges in the telecommunications landscape.

The Cloud-Native Router fully leverages the advantages of container economics and operational efficiencies, empowering service providers with the necessary flexibility to implement 5G networks. This high-performance, software-driven router integrates Juniper’s reliable routing technology, the containerized routing protocol daemon (cRPD) of Junos OS, and the DPDK forwarding plane of Contrail vRouter specifically designed for x86 processors. It works in perfect harmony with the Kubernetes Container Network Interface (CNI) framework. Additionally, the router enhances Juniper’s physical routers by offering sophisticated networking capabilities tailored for cloud-native settings where constraints on space, power, and cooling are prevalent. Utilizing the same underlying Junos OS routing technology, it enables a unified experience across hybrid physical and virtual networks. Serving as a vital part of the 5G Distributed Radio Access Network (D-RAN) and the 5G Core data centers within hyper scaler cloud environments, the Cloud-Native Router represents a significant advancement in modern networking solutions. Its design ensures scalability and adaptability as demand for high-speed connectivity continues to grow.

AWS Transit Gateway is a fully managed solution designed to link Amazon Virtual Private Clouds (VPCs) and on-premises networks via a central hub, which streamlines network design and removes the need for complicated peering setups. By functioning as a scalable cloud router, it ensures that each new connection is established only once, thereby improving efficiency. The service accommodates both dynamic and static layer 3 routing among VPCs and VPNs, using routing tables to determine the next hop based on the destination's IP address. Additionally, it allows for VPN connections between the Transit Gateway and local gateways, utilizing Equal Cost Multipath (ECMP) routing to optimize bandwidth by balancing traffic across multiple routes. Furthermore, AWS Transit Gateway Connect enhances this functionality by enabling seamless integration of Software-Defined Wide Area Network (SD-WAN) appliances within AWS through standard protocols such as GRE and BGP, which not only boosts bandwidth but also supports dynamic routing capabilities. This integration empowers businesses to modernize their network architecture while maintaining efficient and adaptable connectivity options.

The D-TAC "HD" series billing platform offers a comprehensive post-paid CDR billing solution that seamlessly integrates with traditional switches, IP switches, gateways, proxy servers, soft switches, and border session controllers. This robust platform is tailored to deliver high-quality billing for both VoIP and TDM-based CDR networks. D-HD equips telecom businesses with specialized billing and automation features that simplify operational management. Each division within your company receives customized screens, functionalities, and tools aimed at enhancing overall productivity. From customer support systems to rate management resources, the D-HD system is designed to facilitate efficient task execution. For those in need of CDR management capabilities, advanced invoicing options, cash receipt tracking, carrier cost analysis, ASR reporting, and statistical insights into route or trunk group performance, the D-TAC HD Billing System serves as the optimal solution. Central to our offering are billing and authentication services, which include comprehensive AAA RADIUS capabilities and additional AARA features, ensuring a well-rounded approach to telecom billing. Furthermore, this system is adaptable to evolving industry demands, making it a reliable choice for future growth.

Kloudfuse is an observability platform powered by AI that efficiently scales while integrating various data sources, including metrics, logs, traces, events, and monitoring of digital experiences into a cohesive observability data lake. With support for more than 700 integrations, it facilitates seamless incorporation of both agent-based and open-source data without requiring any re-instrumentation, and it accommodates open query languages such as PromQL, LogQL, TraceQL, GraphQL, and SQL, while also allowing for the creation of custom workflows through notifications and webhooks. Organizations can easily deploy Kloudfuse within their Virtual Private Cloud (VPC) through a straightforward single-command installation and manage operations centrally using a control plane. The platform automatically collects and indexes telemetry data with smart facets, which helps deliver rapid search capabilities, context-aware alerts powered by machine learning, and service level objectives (SLOs) with minimized false positives. Users benefit from comprehensive visibility across the entire stack, enabling them to trace issues from user experience metrics and session replays all the way down to backend profiling, traces, and metrics, which makes troubleshooting more efficient. This holistic approach to observability ensures that teams can quickly identify and resolve code-level issues while maintaining a strong focus on enhancing user experience.

Husarnet allows you to connect with your devices directly without the need for a central server forwarding traffic. This is a peer-to-peer, low latency connection over the internet. Husarnet is a Software Defined Network, (SDN) at its core. Husarnet Clients and Husarnet Basis Servers handle all data forwarding (data plane). All logic (control-plane), is configured using Husarnet dashboard and Husarnet websetup.

NGINX Plus serves as a software load balancer, reverse proxy, web server, and content cache, equipped with the enterprise-level features and support that users anticipate. This solution is favored by modern application infrastructure and development teams for its efficiency. Beyond being recognized as one of the fastest web servers, NGINX Plus enhances the beloved attributes of NGINX Open Source by incorporating enterprise-grade functionalities such as high availability, active health checks, DNS service discovery, session persistence, and a RESTful API framework. It stands out as a cloud-native, user-friendly reverse proxy, load balancer, and API gateway. Whether your goal is to enhance monitoring capabilities, bolster security measures, or manage Kubernetes container orchestration, NGINX Plus ensures you receive the exceptional support synonymous with the NGINX brand. Additionally, it offers scalable and dependable high availability, equipped with monitoring tools to assist in debugging and diagnosing intricate application architectures. With active health checks, NGINX Plus continually monitors the status of upstream servers, allowing teams to anticipate and address potential issues before they escalate.

Experience fully managed Linkerd directly within your cluster. Operating a service mesh shouldn’t necessitate a dedicated engineering team. With Buoyant Cloud, Linkerd is expertly managed so you can focus on other priorities. Say goodbye to tedious tasks. Buoyant Cloud ensures that both your Linkerd control plane and data plane are consistently updated with the latest releases, while also managing installations, trust anchor rotations, and additional configurations. Streamline upgrades and installations with ease. Ensure that your data plane proxy versions are always aligned. Rotate TLS trust anchors effortlessly, without any hassle. Stay ahead of potential issues. Buoyant Cloud actively monitors the health of your Linkerd deployments and provides proactive notifications about possible problems before they become critical. Effortlessly track the health of your service mesh. Gain a comprehensive, cross-cluster perspective on Linkerd's performance. Stay informed about best practices for Linkerd through monitoring and reporting. Dismiss overly complex solutions that add unnecessary layers of difficulty. Linkerd operates seamlessly, and with the support of Buoyant Cloud, managing Linkerd has never been simpler or more efficient. Experience peace of mind knowing that your service mesh is in capable hands.

WrangleAI is a robust platform designed for enterprises, providing essential oversight, control, and governance regarding their AI deployments and expenditures. Serving as a "control plane" for generative AI tools such as GPT-4, Claude, and Gemini, it allows organizations to track usage in real-time, gain insights into costs, monitor infrastructure, and implement spending limits to prevent excessive budgets. Additionally, WrangleAI enhances AI observability by enabling teams to discern which models are utilized, by whom, and for which objectives, while also offering intelligent workload routing to more economical models without compromising quality. The platform further incorporates governance mechanisms, including role-based access control and compliance assistance with standards like SOC 2 and ISO 27001, facilitating collaboration among finance, engineering, and leadership teams to enforce policies and receive actionable insights for optimizing AI investments. This comprehensive approach not only streamlines AI management but also empowers organizations to make informed decisions about their AI strategies.

Data Flow Manager is an Agentic AI Control Plane for Apache NiFi Operations, built for enterprises running NiFi at real scale. Run, manage, and fix NiFi challenges across all clusters, environments, and flows using simple natural-language prompts. One platform. One control plane. Zero firefighting. DFM replaces fragmented UIs, brittle scripts, and reactive operations with centralized, AI-driven control, enabling NiFi teams to transition from manual operations to governed, autonomous execution.