Business Software for Model Context Protocol (MCP)

Scalekit is an authentication and integration platform designed specifically for AI agents that need to securely connect with SaaS applications, APIs, MCP servers, databases, and internal systems. The platform enables agents to act on behalf of individual users instead of using shared service accounts, ensuring every action follows the user's identity, permissions, and approved access scopes. Scalekit manages delegated OAuth authentication, secure credential vaulting, token lifecycle management, authorization checks, and API communication without requiring developers to build that infrastructure themselves. Developers can connect to more than 100 prebuilt integrations or create custom connectors for proprietary services and internal APIs. Built-in handling for pagination, retries, rate limiting, and error management simplifies tool execution while improving application reliability. Every request is logged with a complete delegation chain that records the user, agent, connector, permissions, and resulting actions for auditing and compliance. The platform supports encrypted credential storage, regional deployments, private cloud options, SIEM integrations, and enterprise-grade security controls. Scalekit also extends beyond AI agents by providing SaaS authentication capabilities such as SSO, SCIM provisioning, RBAC, passwordless authentication, and user management. By combining delegated identity, secure authentication, and production-ready connector infrastructure, Scalekit enables organizations to build trustworthy AI agents without the complexity of managing authentication themselves.

Grok Voice Agent Builder serves as xAI’s no-code solution for swiftly setting up production voice agents on Grok Voice in less than two minutes. Tailored for both operators and developers, it allows the creation of high-volume voice agents without the need to construct the entire infrastructure from the ground up, integrating telephony, knowledge retrieval, tools, guardrails, MCPs, and observability all in one comprehensive platform. Rather than piecing together different APIs for speech-to-text, language models, and text-to-speech, the Voice Agent Builder provides a unified interface designed for a seamless speech-to-speech experience closely integrated with the Grok Voice model. Users have the ability to articulate a straightforward description of call flows, upload relevant documents, connect necessary tools, implement guardrails, and transition effortlessly from concept to a fully functional agent. Additionally, it can access and retrieve information from various uploaded knowledge bases in widely used formats, including plain text, Markdown, Word, PowerPoint, Excel, HTML, JSON, and more, making it a versatile tool for voice agent development. This flexibility ensures that users can leverage existing resources effectively while streamlining the agent creation process.

Chutes represents a revolutionary advancement in serverless computing tailored for AI at scale, serving as a premier open source and decentralized platform designed for the deployment, scaling, and execution of open-source models in real-world applications. Engineered for the demands of hyperscaling AI-driven products, it empowers developers with high-performance AI inference capabilities across a range of cutting-edge open source models, along with support for ephemeral and batch processing tasks. Operating continuously, Chutes ensures that the latest open-source models are available within minutes of their release, enabling builders to be at the forefront of innovation as new models emerge. There exists a Chute for nearly every application, extending beyond just the expected large language models to include functionalities for image, video, speech, music, embeddings, content moderation, and custom workloads, all consistently available and poised to scale. With Chutes, teams simply need to provide their code while the platform efficiently manages all other aspects, leveraging swift APIs, the Chutes SDK, or one-click deployment options to seamlessly operate serverless AI applications without any infrastructure concerns. This innovative approach not only streamlines development but also enhances productivity, allowing teams to focus more on their creative solutions rather than on the complexities of deployment.

Cloudflare AI Gateway serves as an advanced control plane for AI applications, designed to seamlessly connect to various models while dynamically managing request routing, usage tracking, billing, and logging through a single, cohesive interface. This platform empowers teams by providing enhanced visibility and oversight of their AI applications, enabling them to analyze user interactions through detailed analytics and logs, as well as efficiently manage application scalability through features like caching, rate limiting, request retries, and model fallback. By utilizing response caching and minimizing redundant API calls, AI Gateway effectively lowers costs and reduces latency, allowing frequent requests to be fulfilled directly from Cloudflare’s cache rather than relying on the original model provider. Additionally, it boosts reliability with adaptable controls that determine the timing and conditions under which model provider APIs are accessed, guided by various factors such as attributes, fallbacks, latency, cost, and availability. Importantly, routing rules can be modified directly from the dashboard or via API calls without necessitating redeployments or causing any service interruptions, ensuring a smooth operational experience. In this way, organizations can optimize their AI app performance while maintaining flexibility and control.

Refero serves as a valuable companion for UI/UX design inspiration and research, featuring the largest assortment of authentic design references specifically for web and iOS projects. This platform allows designers to move past the never-ending quest for inspiration and to concentrate on their creative passions by streamlining the design research process, making it quicker and more efficient than ever. Rather than sifting through random boards of inspiration, users have access to a vast library of tens of thousands of screenshots from actual products and websites, organized meticulously to facilitate easier discovery, comparison, and application of references. With Refero, users can navigate through an array of web pages and iOS screens categorized by various page types, UX patterns, UI components, fonts, popular trends, marketing pages, onboarding processes, e-commerce experiences, content pages, legal and business documents, customer support interfaces, and utility designs. This tool is designed for those seeking to uncover proven design strategies from industry frontrunners, analyze the interface structures of successful products, and locate specific examples to inform their design choices. By leveraging this resource, designers can significantly enhance their workflow and creative output while ensuring they remain informed about industry standards.

DocsAlot serves as a documentation platform tailored for both developers and AI agents, designed specifically to enhance the AI onboarding experience for SaaS teams. It transforms disparate help-center articles, API documentation, READMEs, changelogs, product notes, and internal knowledge into a singular, cohesive source of truth that is accessible to both humans and AI. By linking product insights, various documentation sources, and AI-ready outputs, DocsAlot ensures that every answer provided during onboarding refers back to the most up-to-date documentation. Teams can seamlessly integrate resources from GitHub, help-center articles, API documents, READMEs, changelogs, product notes, Notion contexts, support documents, internal notes, Confluence spaces, and Google Docs, thereby organizing disorganized content into a clear and accessible documentation framework. Furthermore, it equips documentation for AI agents by establishing stable anchors and generating clean markdown formats, llms.txt, skill.md, and MCP-compatible segments from a unified source while also delivering hosted documentation with streamlined navigation, quickstart guides, API references, support pathways, and practical examples. Ultimately, DocsAlot streamlines the process for teams, enhancing both efficiency and clarity in the onboarding process.

AnySearch is an innovative search infrastructure prioritizing privacy, specifically designed for AI agents to access high-quality information through a unified API. Unlike traditional search engines that cater to human users by directing them to webpages, AI agents require structured, machine-readable data that clearly indicates its origin, trustworthiness, currency, and applicability for subsequent actions. By aggregating data from various specialized domains, AnySearch delivers structured results that are immediately usable, bypassing the need for agents to sift through a list of links. A single query can simultaneously explore multiple domain-specific data sources, intelligently routed by intent, and the results are merged, ranked, and presented as optimal outcomes. The platform encompasses a wide range of fields, including finance, academia, coding, security, business, healthcare, patents, energy, the environment, agriculture, travel, gaming, and beyond. AnySearch enhances the evaluation of information quality by assigning scores based on criteria such as authority, diversity, and freshness, ensuring that the information provided is not only reliable but also relevant to the users' needs. As a result, AI agents can operate more efficiently and effectively in their tasks.

Timbal serves as a comprehensive AI ecosystem tailored for enterprises, functioning as a production AI platform that empowers teams to create, implement, and manage agents, workflows, user interfaces, and knowledge repositories based on their preferred models. Teams have the flexibility to articulate behaviors through code or utilize Studio, allowing them to operate on any chosen model and provider while delivering solutions across chat, email, voice, and product UI all from a unified runtime. By integrating the entire production stack, Timbal offers a typed Python framework, a visual builder in Studio, a runtime that efficiently manages agents and workflows, as well as governance and evaluation tools for a smooth enterprise deployment, along with seamless connections to existing systems. The agents within Timbal enable autonomous AI capabilities for practical applications, featuring reasoning, tools, and memory, whereas workflows construct reliable AI pipelines that can chain tasks, make logical decisions, retry unsuccessful actions, stream results, and ensure consistent outcomes. Additionally, the interfaces facilitate the deployment of tailored AI experiences across various platforms, from conversational chat to interactive dashboards and voice applications, while the knowledge bases help link and contextualize company information. This holistic approach allows organizations to innovate and adapt to their specific needs while leveraging advanced AI technologies.

Adviserry transforms the newsletters and YouTube channels you regularly engage with into a comprehensive knowledge base that your AI can utilize, making expert content not only accessible but also actionable. Rather than merely skimming insightful articles, bookmarking lengthy essays, or losing track of actionable steps come Monday morning, Adviserry assimilates information from the experts you trust, aligns it with your ongoing projects, and delivers tailored actions to undertake this week. You can link your Gmail inbox, subscribe to your preferred YouTube channels, and organize content creators into specialized topic groups such as Marketing, SaaS, or AI. Additionally, you have the option to upload your pitch decks, strategic documents, project briefs, market analysis, or business proposals, ensuring that the insights provided are relevant to your unique circumstances. Each new newsletter and video is seamlessly processed, transcribed, embedded, summarized, and rendered searchable, eliminating the need for tedious manual uploads or copy-pasting, thereby streamlining your workflow. With Adviserry, you can finally make sense of all the expert insights you've gathered and take decisive action toward your goals.

Askbowtie revolutionizes analytics for the modern era by eliminating the tedious chore of monitoring multiple dashboards, a task that typically consumes 10-20% of a site owner's weekly schedule. Instead, askbowtie streamlines this process by consolidating search, analytics, error tracking, advertising, and uptime into a single, comprehensive answer with every statistic meticulously cited. The concept is straightforward: five essential tools answer one critical question, ensuring clarity in every metric. Insights from Search Console are delivered intuitively, highlighting which search queries are gaining traction, identifying pages that need updates, and revealing the actual rankings of the site—all without the need for cumbersome spreadsheets. Analytics reports are presented in concise sentences, providing clear information on sessions, conversions, and associated costs, eliminating the frustration of navigating complex event taxonomy and multiple reports. Error monitoring effectively detects JavaScript issues, rage clicks, and broken forms, focusing on elements that have financial implications. Furthermore, Google Ads campaigns are not only initiated and monitored but are also fine-tuned to align expenditures with real-time checkouts, optimizing each click for maximum return. This comprehensive approach allows site owners to regain valuable time and enhance their decision-making. Ultimately, askbowtie transforms the analytics landscape, making data-driven insights more accessible and actionable than ever before.

FetchSandbox provides a safe environment for testing the AI integrations you create, allowing you to avoid any impact on production systems. It facilitates the entire journey from API requests to full-fledged integrations, empowering developers to construct, test, and confirm API integrations in realistic scenarios prior to actual deployment, which helps identify errors early, minimize debugging efforts, and ensures a confident rollout. Rather than depending on static mocks, artificial success responses, or potentially hazardous production keys, FetchSandbox offers teams operational API environments that mimic authentic services. Its stateful API sandbox retains state across multiple requests, adheres to lifecycle transitions, triggers genuine webhook events, and manages multi-step workflows, which are often points of failure for integrations. Developers can leverage tools like the MCP Server, CLI, web application, OpenAPI import, and monitoring solutions to validate their integrations with various APIs, including Stripe, Resend, Clerk, GitHub, Paddle, and Shopify. Overall, this approach not only enhances the reliability of integrations but also streamlines the development process by providing insights into potential issues before they reach the production phase.

Launch a backend in under two minutes by starting with a Postgres database that includes features like authentication, instant APIs, real-time subscriptions, and storage capabilities. Accelerate your development process and direct your efforts toward enhancing your products. Each project utilizes a complete Postgres database, recognized globally as a reliable relational database. Implement user sign-ups and logins while ensuring data security through Row Level Security measures. Facilitate the storage, organization, and serving of large files, accommodating various media types such as videos and images. Customize your code and set up cron jobs seamlessly without the need to deploy or manage scaling servers. There are numerous example applications and starter projects available to help you get started quickly. The platform automatically introspects your database to generate APIs instantly, allowing you to avoid the tedious task of creating repetitive CRUD endpoints and concentrate on your product's development. Type definitions are automatically created from your database schema, enabling a more streamlined coding experience. You can also use Supabase directly in your browser without a complicated build process, and develop locally before deploying to production at your convenience. Manage your Supabase projects effectively right from your local machine, ensuring a smooth and efficient workflow throughout your development journey.

SAS Viya is an advanced cloud-native data and AI platform designed to help organizations manage data, develop AI models, and operationalize analytics from one unified environment. The platform combines data access, machine learning, analytics, governance, and decision deployment into a scalable system built for enterprise use. SAS Viya enables businesses to connect to data across multiple sources while maintaining transparency, lineage, governance, and auditability throughout the AI lifecycle. Organizations can use the platform to accelerate model development, streamline workflows, and deploy trusted AI solutions faster and more efficiently. The platform includes built-in governance features that support fairness, explainability, compliance, and responsible AI practices across teams and business processes. SAS Viya also supports secure AI agent integration through the SAS Viya MCP Server, allowing AI-driven tools and copilots to interact with enterprise workflows responsibly. Businesses can deploy the platform in cloud, hybrid, or on-premises environments based on operational and security requirements. SAS Viya is used across industries for applications such as fraud detection, healthcare analytics, forecasting, customer intelligence, and AI model operationalization. The platform is designed to improve productivity by simplifying complex AI workflows and enabling collaboration between data scientists, analysts, and business users. Backed by decades of analytics expertise, SAS Viya helps organizations transform raw data into transparent and actionable business decisions at scale.

Base is a secure, cost-effective, and developer-friendly layer 2 solution for Ethereum, designed to usher in the next billion users to the web3 ecosystem. It offers the essential security and scalability required for your decentralized applications, utilizing Ethereum's foundational security while allowing smooth onboarding from Coinbase, Ethereum L1, and other compatible chains. Experience the Ethereum Virtual Machine (EVM) at a reduced cost, and gain early access to advanced Ethereum functionalities like Account Abstraction (ERC4337), alongside straightforward developer APIs for gasless transactions and smart contract wallets. Built on Optimism’s open-source OP Stack, Base provides an effortless way for decentralized applications to tap into the extensive range of products and distribution options from Coinbase. With seamless integrations, easy fiat onramps, and entry into the Coinbase ecosystem—home to 110 million verified users and $80 billion in assets—Base positions itself as a pivotal player in the web3 landscape. The combination of innovative features and robust support makes Base an attractive option for developers looking to create impactful decentralized applications.

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.

Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.

Coral is a developer-focused data access platform that lets teams query different tools and systems with SQL instead of writing custom connectors. It converts APIs, databases, files, and software platforms into readonly schemas that agents and humans can inspect, join, and analyze. Users can connect sources such as GitHub, GitLab, Slack, Linear, Datadog, Sentry, OpenTelemetry, Intercom, Stripe, and incident management tools. Once connected, Coral makes those sources available as tables, allowing cross-system questions to be answered through standard SQL. The platform is designed for AI agent workloads, giving coding agents and operational assistants access to structured context without unsafe write access. Coral works through the command line and over MCP, so multiple agents can share one runtime. It includes query pushdown, caching, pagination handling, schema hints, recommended joins, and relationship learning based on usage patterns. These capabilities help reduce expensive tool loops and improve the quality of agent-generated answers. Coral gives teams a practical way to make scattered operational data accessible, queryable, and useful for engineering, SRE, security, support, and internal operations.

TestSprite’s AI is capable of creating test plans, developing integration and end-to-end test scripts, managing the scheduling and execution of test cases on a cloud platform, debugging based on the results obtained, and consolidating all findings into thorough reports. It can also analyze user-submitted documentation to comprehend the testing object, allowing it to generate test plans automatically and forward them to clients for their approval. Following the approval of the test plan, the corresponding test code can be implemented in mere seconds. Rather than hiring testing engineers or contractors for pre-launch validation, you simply need to rely on our solution. TestSprite’s AI will autonomously schedule and run test cases on our cloud infrastructure, with the capability to debug and pinpoint possible root causes based on the results from cloud testing. In the final stage, TestSprite will deliver detailed and comprehensive reports to clients, ensuring clarity and transparency throughout the process. Embracing simplicity is effortless when you bypass numerous essential features, streamlining your testing experience.

Glama is a versatile AI-powered platform that enables users to leverage a wide range of models and tools for enhanced productivity. Whether you're analyzing documents, solving complex mathematical equations, or visualizing ideas in real time, Glama brings AI's full potential to your fingertips. With its customizable workspace, AI model comparison, and seamless integration with tools like API access and shared workspaces, Glama provides a powerful environment for businesses looking to improve workflows and boost collaboration, all while ensuring data security and transparency.

Claude for Financial Services revolutionizes the realm of institutional finance by integrating cutting-edge AI with robust financial data infrastructure and top-tier security into a cohesive intelligence framework. This Financial Analysis Solution seamlessly links key data sources, including S&P Global, Daloopa, and various internal systems within a single interface, ensuring that each data point is directly traceable to its original source for immediate verification and complete transparency. Designed with privacy at its core, it guarantees that your inputs and outputs will not contribute to the training of the underlying models by default. The platform also features guided onboarding and MCP-based connectors, facilitating smooth deployment in diverse environments such as banking, insurance, asset management, and fintech. With its native workflows and intelligent search functions, teams can efficiently handle intricate financial tasks on a large scale, quickly verifying information across numerous sources to minimize errors and conduct detailed analyses in mere minutes instead of hours. This innovative approach not only enhances productivity but also empowers financial professionals to make more informed decisions rapidly.

Supercamp revolutionizes organizational operations by establishing a cohesive AI environment where various LLMs, tools, and personalized assistants work in harmony. Rather than dealing with multiple AI platforms and the resulting loss of context, you gain a singular intelligent hub where your AI assistants comprehend your business dynamics, retain your preferences, and integrate seamlessly with your existing processes. This innovative approach can save you countless hours by providing AI solutions that genuinely understand your requirements and deliver tailored support. Key Features - Multi-LLM Integration: Utilize ChatGPT, Claude, Gemini, and other top-tier AI models from a single interface, allowing you to select the most suitable AI for each unique task at hand. - Custom AI Assistants: Develop dedicated AI assistants that are customized to meet your business requirements, incorporating specific knowledge and expertise relevant to your organization. - Team Management: Effectively manage team members, facilitate the sharing of AI assistants across various departments, oversee permissions, and ensure consistent AI performance throughout the organization, fostering enhanced collaboration.

Orshot transforms marketing design workflows by offering AI-driven automation for creating visuals and templates at scale. Its platform provides an extensive library of ready-to-use templates for social media, e-commerce, events, and branding, while also enabling users to design custom assets with Orshot Studio. Teams can import existing designs from Figma and Canva, then parameterize templates with dynamic data for automated output. With every template functioning as an API, developers can connect Orshot to thousands of apps using Zapier, n8n, or Airtable, while advanced users can access SDKs in Node, Python, Ruby, and PHP. Beyond automation, Orshot ensures brand consistency with dedicated assets libraries, smart layouts, and responsive design elements. Enterprise teams benefit from workspaces to organize projects, role-based collaboration, detailed audit logs, and performance monitoring. Its infrastructure is designed for high-volume rendering, supporting up to 100,000 renders per month on enterprise plans. By reducing design bottlenecks, Orshot empowers businesses to slash production time, maintain visual consistency, and scale content creation seamlessly.

Markup AI offers an API-based platform designed to assist organizations in scanning, evaluating, rewriting, and enforcing quality and compliance criteria for their written materials. This platform allows users to establish guidelines for brand voice and style, as well as regulatory or legal requirements, integrating seamlessly with various content workflows through APIs, Zapier, MCPs, or direct application connections. As a result, any draft or published content can be reviewed for uniformity, tone, precision, and compliance. When content fails to meet set standards, it is flagged for review, and users can see side-by-side comparisons that illustrate what changes were made, the reasons behind them, and the extent of improvements achieved. Additionally, existing content libraries can undergo audits, enabling the identification of large volumes of content that may be outdated, misaligned, or requiring branding and legal revisions, which can then be rewritten in bulk. The platform aims to accelerate the publishing timeline, mitigate risks related to brand or regulatory errors, enhance trust in content operations, and increase team productivity. Overall, Markup AI streamlines the content management process, making it easier for organizations to maintain high standards across all written communications.

CData's artificial intelligence solution revolves around Connect AI, which offers AI-enhanced connectivity features that enable real-time, governed access to enterprise data without transferring it from the original systems. Connect AI operates on a managed Model Context Protocol (MCP) platform, allowing AI assistants, agents, copilots, and embedded AI applications to directly access and query over 300 data sources, including CRM, ERP, databases, and APIs, while fully comprehending the semantics and relationships of the data. The platform guarantees the enforcement of source system authentication, adheres to existing role-based permissions, and ensures that AI operations—both reading and writing—comply with governance and auditing standards. Furthermore, it facilitates capabilities such as query pushdown, parallel paging, bulk read/write functions, and streaming for extensive datasets, in addition to enabling cross-source reasoning through a cohesive semantic layer. Moreover, CData's "Talk to your Data" feature synergizes with its Virtuality offering, permitting users to engage in conversational interactions to retrieve BI insights and generate reports efficiently. This integration not only enhances user experience but also streamlines data accessibility across the enterprise.

Chrome Sidekick is an innovative browser extension that functions as an AI sidebar agent integrated into every webpage you visit. It has the capability to analyze both the HTML structure and visual elements of pages, enabling it to provide explanations, extract data automatically, execute workflows, and automate complex multi-step tasks. Users are empowered to create reusable Workflows from their instructions, establish connections with external applications through MCP (a connector protocol), and use voice commands for a hands-free experience. The assistant is designed to retain memory, allowing it to remember context and efficiently manage follow-up tasks over time. Additional features include the ability to switch between different AI models, use custom API keys, toggle between light and dark modes, and remotely control the tool via Cursor or Claude Desktop. Essentially, Chrome Sidekick serves as a companion on every webpage, making it easy to inquire about the current site, automate various actions, and extract necessary information without the hassle of constant switching. This seamless integration enhances productivity and streamlines your browsing experience.