Find and compare the best Artificial Intelligence software for Model Context Protocol (MCP) in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Model Context Protocol (MCP) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Fere AI
Fere AI
Fere AI serves as an advanced cryptocurrency assistant designed for immediate research, automated trading, and executing on-chain transactions. This platform assists users in navigating crypto investments by leveraging cutting-edge AI agents that tap into live crypto data, encompassing on-chain metrics, current market updates, and social media trends. Engineered for long-term execution, its agents process information to generate research and make trading choices that are systematic, verifiable, and dependable when financial capital is at stake. Fere AI features a variety of tools, including a Pro research agent, Market Pulse for up-to-the-minute news and social discussions, trading and investment agents, and an Alpha Dashboard that updates every minute. The capabilities of its agents extend to market scanning, trend identification, investment strategy optimization, trade execution, and facilitating operations across various domains like cross-chain activities, memecoins, and prediction markets. Overall, Fere AI aims to enhance the user experience in the dynamic world of cryptocurrency trading and investment. -
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Qwen3.7-Plus
Alibaba
Qwen3.7-Plus is an advanced multimodal agent model that seamlessly integrates vision and language into a single, adaptable foundation for intelligent agents. Expanding upon the agentic intelligence of Qwen3.7, it enhances its abilities to include visual comprehension, reasoning, grounded interactions, and the use of various multimodal tools, allowing agents to perceive, analyze, and operate within text, images, documents, screens, and intricate real-world scenarios. This model is specifically crafted for dynamic tasks that go beyond mere static question answering, facilitating activities such as visual searches, document understanding, chart and table evaluations, screen comprehension, GUI interactions, image-driven reasoning, and workflows where perception, planning, and action are interlinked. Qwen3.7-Plus fortifies the relationship between linguistic reasoning and visual cues, empowering users to inquire about images, decode complex multimodal information, extract organized data, and formulate responses that incorporate both contextual and visual elements, thus broadening the scope of interactive AI applications. With these enhancements, users can engage in more sophisticated and nuanced interactions with the system, making it a powerful tool for various practical applications. -
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GuardionAI
GuardionAI
GuardionAI serves as an Agent and MCP Security Gateway, delivering comprehensive security for AI agents and Model Context Protocol tools that interact with enterprise data. Positioned within the execution path, it effectively identifies and redacts sensitive information, implements protective measures, and offers enhanced visibility into activities that conventional SIEM, DLP, and identity frameworks typically miss. Every action performed by agents is meticulously scrutinized, enforced, and logged at the protocol level, encompassing AI agents, LLM applications, RAG systems, chatbots, coding assistants, MCP servers, internal applications, databases, operating systems, and cloud infrastructures. GuardionAI is designed to counteract critical AI vulnerabilities including prompt injection, system overrides, web-based assaults, MCP tool tampering, malicious code execution, exposure of NSFW content, leakage of PII and credentials, unauthorized access to confidential data, off-topic drift, and breaches of access control, all aligned with the OWASP LLM Top 10 and agentic AI threat frameworks. Notably, the gateway offers a robust four-layer protection system, ensuring that organizations can safeguard their AI assets more effectively than ever before. This multifaceted approach not only enhances security but also empowers teams with the insights needed to navigate the complexities of modern AI environments. -
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General Analysis
General Analysis
General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats. -
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Aion 1.0 Plan
Microsoft
Aion 1.0 Plan is Microsoft's innovative local agentic reasoning framework for Windows that facilitates fully agentic workflows on devices without relying on cloud services or incurring per-token expenses. This model boasts an impressive 14 billion parameters and a context length of 32K, and it is integrated directly into Windows on compatible devices. In contrast to smaller on-device models that concentrate on basic text processing, Aion 1.0 Plan is specifically designed for local agentic reasoning, allowing applications to comprehend user intentions, utilize tools, manage files, and coordinate sub-agents directly on the device itself. It represents the latest evolution in Microsoft’s suite of on-device small language models, created for efficient local execution and signifying a shift from scalable text intelligence to more advanced local planning capabilities. Aion 1.0 Plan is a crucial component of Windows' overarching initiative to deliver “unmetered intelligence,” where cutting-edge models tackle the most complex challenges while local models provide ongoing, cost-effective agent workflows. Ultimately, this advancement reflects a significant leap forward in how users can interact with their devices, enhancing productivity and streamlining tasks in everyday computing. -
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HQ
Indigo AI
HQ serves as a unified AI context platform for teams, enabling all members and AI tools to collaborate from a single workspace where knowledge, skills, and workflows organically grow together, alongside any operating agents. Functioning as an operating system for AI contributors, it integrates seamlessly with Claude Code, Cursor, Codex, ChatGPT, and Claude chat via MCP, allowing every team member and agent to engage with a shared context rather than disjointed chat logs, scattered documents, and isolated processes. By transforming the exemplary efforts of one individual into foundational team infrastructure, HQ allows any prompt or workflow to be converted into a reusable command; subsequently, the /hq-sync feature disseminates it across the entire team, enabling anyone to execute it with ease. As teams progress, knowledge that is typically dispersed across decisions, documentation, playbooks, policies, projects, code, and concepts converges within HQ, establishing a singular source of truth that every agent can access, repurpose, and build upon. Furthermore, agents can be integrated into platforms like email and Slack, functioning with the team's collective expertise and insights while retaining comprehensive context for improved collaboration. This holistic approach not only enhances team productivity but also fosters an environment of continuous learning and adaptation. -
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MiMo Code
Xiaomi Technology
MiMo Code serves as an AI coding assistant integrated directly into a developer's terminal, evolving its understanding of projects over time and enhancing its capabilities as it engages with tasks. This innovative tool can effectively read and write code, execute commands, manage Git repositories, and maintain a continuous awareness of project context through its advanced memory features. Rather than depending solely on the model to retain information, MiMo Code utilizes project-specific memory, conversation checkpoints, temporary notes, task updates, and SQLite FTS5 for full-text searching to safeguard essential rules, architectural choices, session states, and active endeavors. In situations where context approaches its limits, this assistant adeptly reconstructs the working environment from the most recent checkpoint, memory insights, task progression, and recent communications, allowing it to seamlessly continue rather than restart. Additionally, multiple agents are designed to accommodate various workflows, facilitate comprehensive development with full permissions, support read-only analyses, and assist in specifications-driven development, thus broadening its usability across different programming scenarios. Ultimately, MiMo Code represents a significant leap forward in how developers can interact with their coding environments and streamline their processes. -
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Agentcard
Agentcard
Agentcard provides a secure method for AI agents to conduct online transactions by generating disposable virtual Visa cards tailored for agent operations. This innovative solution eliminates the need to share actual card information in conversations or require human intervention for checkout, as users can issue single-use cards that come with predetermined spending limits and automatically deactivate after a single authorized transaction. The system is built around user control, ensuring that every card and charge requires human approval, that real card information is never disclosed to agents, and that users receive alerts whenever an agent attempts to create a card or execute a payment. Furthermore, it seamlessly integrates with various platforms, including ChatGPT, Claude Desktop, Claude Code, OpenClaw, Cursor, and MCP-compatible agents through one-click setups, an MCP server, CLI tools, REST API, a Chrome Extension, and administrative tools for organizations. Users have the ability to create cards, monitor balances, review transaction histories, deactivate cards, and utilize these cards for online purchases while maintaining oversight and control throughout the process. This user-centric design ensures that the integrity and security of financial transactions remain uncompromised, allowing for a smooth and efficient interaction between agents and payment systems. -
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Fudge
With Fudge
Fudge empowers AI to create visually appealing websites that appear expertly designed rather than merely generated. By linking your AI assistant to Fudge's remote MCP server, you can access authentic website references, analyze visual trends, review screenshots, and make informed design choices during the development process. Additionally, Fudge comprises a collection of curated design references, typography options, color palettes, layout examples, and component data. With these resources, users can enhance their design workflow and achieve a more polished final product. -
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Calven
Calven
Calven is a cutting-edge AI marketing platform designed to empower teams with nine independent agents focused on Research and Intelligence, Target Audience, and Positioning and Messaging. Instead of functioning as isolated tools, these agents collaborate through a unified database known as the Universe, where critical elements such as market signals, customer feedback, competitor insights, win/loss data, ideal customer profiles, personas, positioning, battle cards, and messaging are seamlessly integrated and consistently updated. Four dedicated research agents monitor competitors, markets, customers, and deals in real time; the ICP and Persona agents utilize these insights to create a validated understanding of the target audience; while the Positioning, Messaging, and Product Intelligence agents refine this context into compelling and distinct language. Additionally, Calven interfaces with various platforms such as sales calls, CRM systems, Slack conversations, documents, and more, efficiently processing information that teams typically lack the time to analyze, ensuring that all marketing materials are current and relevant. This holistic approach not only streamlines the marketing process but also enhances strategic decision-making across the organization. -
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Bold Pilot
Bold Pilot
$19/month/ user Bold Pilot serves as a comprehensive AI-driven platform for SEO analysis and optimization, aimed at empowering webmasters, digital marketers, and agencies to enhance their online presence. By providing automated site audits, smart keyword research, and practical SEO suggestions, Bold Pilot transforms intricate search engine optimization processes into seamless workflows, facilitating genuine organic growth for its users. This innovative tool not only streamlines the SEO journey but also ensures that businesses can easily adapt to the ever-evolving digital landscape. -
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Formal
Formal
Formal serves as a reverse proxy that is aware of protocols, enhancing security measures for databases, APIs, infrastructure, and AI tools by implementing least privilege principles at the wire-protocol layer. This tool is deployed as a singular stateless binary within a Virtual Private Cloud (VPC) using platforms like Terraform, Kubernetes, or Docker, effectively positioning itself between users and resources without necessitating alterations to applications, SDKs, or agents. Formal supports the analysis of over 15 distinct protocols, such as PostgreSQL, MySQL, MongoDB, Snowflake, SSH, Kubernetes, HTTP, MCP, S3, Redis, RDP, BigQuery, ClickHouse, and DynamoDB, which empowers it to make decisions based on specific queries rather than relying solely on broad network filtering. Furthermore, its policies can oversee user authentication and authorization, mask or filter data fields, modify requests, prohibit certain actions, mandate multi-factor authentication, isolate sessions, revoke access, or enable impersonation throughout the stages of session, request, and response. Additionally, teams have the capability to protect AI agents and MCP servers by eliminating personally identifiable information before it is processed by a model, preventing unauthorized calls to tools, and meticulously auditing each action taken. This comprehensive approach not only enhances security but also ensures compliance with data protection regulations. -
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P-Image-Ideogram
Ideogram
The P-Image-Ideogram represents a collection of Pareto-optimal text-to-image models, expertly crafted by Ideogram in collaboration with Pruna AI, aiming to strike an exceptional balance between image quality, generation speed, and overall efficiency. These models are specifically engineered for high-volume production and quick iterations, enabling the creation of 1,000 images in mere seconds while still delivering quality that rivals top-tier image models. Users have the flexibility to choose from four Quality levels, allowing them to align computational resources with their specific requirements rather than adhering to a simplistic hierarchy of quality. The Medium setting acts as the standard default, while High is tailored for intricate typography, elaborate prompts, and detailed nuances; very Low or Low settings are ideal for drafts, experimentation, and extensive A/B testing. Developers can seamlessly interact with the model via a synchronous API endpoint, where they can submit either a natural-language request or a structured Ideogram 4.0 JSON prompt, with the server automatically recognizing the format. In addition, optional prompt upsampling enhances instructions through the Magic Prompt feature, and a fixed seed guarantees that results can be replicated consistently, making this model not only versatile but also reliable for varied applications. Overall, the P-Image-Ideogram stands out as a powerful tool for creators seeking efficiency and quality in their text-to-image tasks. -
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Darktrace / SECURE AI
Darktrace
Darktrace / SECURE AI offers a comprehensive AI security solution that consolidates all AI interactions within an organization into a unified perspective, enabling teams to grasp intentions, evaluate risks, safeguard sensitive information, and ensure compliance with policies. It provides real-time monitoring of prompts, sessions, and responses across various enterprise GenAI tools like Microsoft Copilot and ChatGPT Enterprise, as well as low-code environments such as Microsoft Copilot Studio, high-code platforms like Amazon Bedrock and SageMaker, SaaS applications, and secure access service edge (SASE). Utilizing behavioral analytics, it effectively differentiates between routine business activities and notable or hazardous anomalies, thereby identifying conversational prompt attacks, harmful chaining, and other unsafe actions without solely depending on historical attack patterns. Darktrace's unique ability to learn directly from the environment it secures enables it to recognize new and AI-related threats upon their initial occurrence. This adaptive learning capability enhances its effectiveness in proactively addressing emerging security challenges within an increasingly complex technological landscape. -
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QoderWork
Qoder
QoderWork serves as a versatile AI work partner that offers advanced functionalities that extend beyond mere coding. Just specify your requirements, and QoderWork will strategize, implement, and provide results, assisting with various daily responsibilities like file organization, data processing, document creation, web research, visual design, and spreadsheet analysis. Its integrated browser automation feature allows it to navigate websites, gather information, complete forms, and streamline repetitive online tasks without needing additional software. It is capable of reading Excel files, examining data from multiple angles, producing charts and actionable insights, synthesizing discussions into organized reports, crafting relevant visuals to accompany written material, and generating detailed educational demonstration videos. Professional-grade outputs can be produced and delivered in formats such as Word, Excel, PowerPoint, and PDF, incorporating AI-generated images, infographics, and posters seamlessly. Users can manage their tasks in a conversational manner by articulating their objectives and designating a specific folder for their work. This intuitive approach makes it easier for users to maximize productivity while relying on QoderWork's extensive capabilities. -
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Easy MCP AI
Easy MCP AI
Easy MCP AI is a WordPress plugin designed to transform a website into an MCP server, enabling AI assistants to conduct research, manage tasks, optimize content, and analyze data through natural language interactions. This plugin establishes connections with various MCP-compatible clients like Claude, ChatGPT, and Cursor, allowing WordPress functionalities to be utilized as AI-ready tools without the need for Node.js, proxies, or prolonged processes, all while operating seamlessly on standard PHP hosting environments. It offers extensive support for various WordPress elements such as posts, pages, media, comments, users, categories, tags, menus, plugins, themes, blocks, and custom post types, ensuring comprehensive integration across the platform. Furthermore, the plugin enhances functionality by providing integrations with WooCommerce, Advanced Custom Fields, BuddyPress, The Events Calendar, numerous leading SEO plugins, and essential data services like Google Analytics 4, Google Search Console, DataForSEO, Semrush, SE Ranking, and Ahrefs. With this tool, AI assistants are empowered to conduct keyword research, develop content plans, draft and publish articles, refresh SEO metadata, manage various site data, and extract valuable performance insights. In this way, Easy MCP AI not only streamlines workflows but also significantly boosts the overall efficiency of managing WordPress sites through AI capabilities. -
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Unity AI Gateway
Databricks
Unity AI Gateway offers a unified framework for governance, monitoring, and expenditure management across various AI systems within an enterprise, enabling organizations to oversee agents, tools, models, MCPs, and AI frameworks from a single, regulated interface. It ensures consistent governance across AI services such as Databricks-hosted AI, external models, coding agents, and agent harnesses, while avoiding vendor lock-in for teams. Policies that are aware of user identities regulate agent access, permissible actions, and tool usage, while integrated, custom, and third-party safeguards maintain safety and compliance throughout prompts, responses, and interactions. This system records prompts, traces, tool interactions, payload logs, audit trails, token usage, and policy decisions to facilitate behavior monitoring, incident investigations, and compliance assistance. Furthermore, centralized financial controls enable tracking of consumption across various users, teams, applications, agents, and providers, incorporating budgets, rate limits, and strict spending caps to optimize resource allocation. By streamlining these processes, Unity AI Gateway empowers organizations to harness AI technologies effectively while adhering to their governance and budgetary frameworks. -
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Bevel
Bevel
Bevel serves as a vendor-neutral, Git-integrated control plane tailored for enterprise AI agents, allowing organizations to define their agents, context, skills, tools, permissions, and identities as owned files within their infrastructure, which can then be accessed by any agent runtime through MCP. The context is organized as typed knowledge nodes, each with documented provenance detailing its source, the last modification, and verification timestamps, and this information is compiled into a navigable graph that can be updated and utilized for creating dashboards. Skills are articulated as straightforward Markdown procedures, enabling process owners to easily read, review changes, and transfer them across different runtimes. Additionally, tool manifests outline the capabilities available, while sensitive information is stored securely in a vault, governed by access rules that dictate which agents can read certain files or invoke specific endpoints. Each agent is assigned a unique identity and credentials, ensuring that all actions can be traced back to their source. This comprehensive framework not only enhances security and organization but also promotes transparency and accountability in AI operations. -
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Qwen3.8-2.4T-A95B
Alibaba
Qwen3.8-2.4T-A95B stands out as the most extensive open model within the Qwen3.8 series, offering advanced Qwen-Max-class features in a publicly accessible format. Constructed upon the solid framework of Qwen3.5, this model significantly enhances performance in areas such as coding, professional tasks, research, and complex, prolonged agentic activities, emphasizing the reliability of executing intricate, multi-step workflows to completion. Utilizing a cutting-edge mixture-of-experts architecture, it boasts an impressive total of 2.4 trillion parameters, with 95 billion of those being activated, featuring 512 experts and engaging 10 routed along with one shared expert simultaneously. The model accommodates a native context length of 262,144 tokens, which can be extended to around 1.01 million tokens, thereby providing substantial flexibility for various applications. Furthermore, improvements in agent execution, such as enhanced autonomous planning and better responsiveness to environmental feedback, contribute to its efficiency, while its broader compatibility with widely used agent frameworks and development tools facilitates seamless integration into existing systems, making it a versatile choice for developers and researchers alike. -
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AstroFabric
AstroFabric
$349AstroFabric is an advanced AI operating system designed to enhance growth, drive revenue, and streamline digital operations. A variety of specialized AI agents manage different areas such as SEO and online visibility, advertising, outbound pipeline management, competitive analysis, creative processes, lifecycle management, reporting, and site operations, executing comprehensive missions through precise tools. Each operation is conducted under strict budgets, requires approvals for written content, and provides a complete transcript, ensuring that autonomy remains accountable. Users have the option to utilize pre-existing playbooks or create tailored objectives, with operations facilitated through the console, REST API, hosted MCP server, scheduled missions, agent email, or an embeddable chat widget. This flexibility empowers teams to optimize their workflows and achieve their goals efficiently. -
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Cronloop
Cronloop
$0Cronloop enables you to automate tasks using AI agents that operate on a predefined schedule without human intervention. Simply outline the task in straightforward Markdown, select either Codex or Claude Code, link your tools, and observe your agents in action. Each agent retains memory from previous operations and enhances its capabilities over time, ensuring continuous improvement with every execution. This innovative approach allows for increased efficiency and productivity in managing repetitive tasks. -
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meetstream.ai
meetstream.ai
Meetstream.ai offers an API for a meeting bot designed for real-time AI agents, enabling developers to seamlessly integrate functionalities to join, record, stream, and transcribe calls across platforms like Zoom, Google Meet, and Microsoft Teams. This technology allows bots to capture essential elements such as real-time video, audio, transcripts, participant details, screenshots, chat interactions, meeting metadata, and MP4 recordings, which empowers teams to concentrate on creating AI-driven insights rather than juggling multiple meeting-platform integrations. The transcription feature includes speaker identification and timestamps, while individual audio tracks for each participant ensure accurate speaker recognition, even amid overlapping dialogue. Furthermore, Meetstream facilitates low-latency audio and video streaming through secure WebSockets, with distinct feeds for each participant catered to real-time applications. Additionally, its calendar integration streamlines the process by automating meeting joins and synchronizing with Google and Outlook calendars, enhancing overall productivity and efficiency in team collaborations. -
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Maxfusion
Maxfusion
MaxFusion serves as an innovative AI-driven creative layer tailored for brands and agencies aiming to efficiently produce and amplify high-impact video advertisements. The platform, MaxFlows, seamlessly integrates each aspect of the ad creation process, from competitor analysis and trend identification to ideation, image and video production, and final editing, all within an interactive visual workspace that teams can manage. Users have the capability to extract competitors’ advertisements from the Meta Ad Library, explore TikTok and various social media channels for engaging hooks and concepts, and generate ideas focused on brand advantages and customer challenges. By consolidating advanced image and video models, it enables the creation of initial frames, product visuals, ad stills, and dynamically generated videos, allowing teams to edit, combine, caption, and export creatives that are ready for campaigns. Its unique feature, RIZZ, employs an audio-guided video model to produce user-generated content-style videos featuring expressive AI actors capable of showcasing a range of emotions such as joy, sadness, and celebration, resulting in more authentic performances. Additionally, the platform's bulk production functionality transforms a single advertising brief into extensive batches of advertisements, empowering teams to experiment with a wider array of concepts, perspectives, and variations to enhance their marketing strategies. Ultimately, MaxFusion not only streamlines the ad creation process but also fosters creativity and efficiency among teams in the competitive landscape of digital advertising. -
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TrackMCP
TrackMCP
If you've deployed an MCP server but find yourself uncertain about its usage, TrackMCP can provide valuable insights. - Identify the users of your MCP server - Determine which AI clients are making connections - Analyze the number of new users versus returning ones - Understand the tasks users are attempting - Discover the sequence of tools they utilize - Evaluate whether tasks are completed successfully - Pinpoint where workflows may falter and identify areas for enhancement Simply add one line to your MCP server in either TypeScript or Python, and TrackMCP will automatically handle the rest, presenting your data in the dashboard instantly. Additionally, we offer a complimentary MCP repository where you can showcase your MCP server, allowing others to find and utilize it effectively. Sharing your project not only helps you gain visibility but also fosters a collaborative community around MCP development. -
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oMLX
oMLX
oMLX is an MLX server specifically designed for macOS, enhancing the efficiency and speed of local AI operations on Apple Silicon. It caters to the functional dynamics of coding agents by implementing paged SSD KV caching, which enables the persistence of cache blocks on disk; this means that previously accessed prefixes can be retrieved quickly across different requests and even after server restarts, thereby eliminating the need to recompute them from scratch. As a result, the time taken to generate the first token in lengthy contexts can be significantly reduced, dropping from a range of 30 to 90 seconds down to less than five seconds after the initial interaction. The server adeptly manages simultaneous requests through a continuous batching mechanism via mlx-lm’s BatchGenerator, which enhances overall generation throughput without requiring requests to queue up behind a single task. oMLX is capable of simultaneously serving a variety of models, including LLMs, vision-language models, embedding models, and rerankers, utilizing LRU eviction to manage memory constraints effectively. Furthermore, it is compatible with any MLX-format model sourced from Hugging Face, such as Qwen, LLaMA, Mistral, Gemma, DeepSeek, MiniMax, and GLM, and can also utilize models that are already present in the standard Hugging Face cache, directories associated with LM Studio, or any custom storage locations, ensuring a versatile user experience. This flexibility in model integration enhances the overall usability and practicality of oMLX for developers and researchers alike.
