Showing 543 open source projects for "mcp"

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  • 1
    MCP UI

    MCP UI

    SDK for building interactive UI components over MCP for AI tools

    mcp-ui is a software development kit designed to bring interactive user interface capabilities to applications built on the Model Context Protocol (MCP). It enables developers to create rich, dynamic UI components that can be delivered from an MCP server and rendered seamlessly by a compatible client. Instead of returning only text responses, tools can provide structured UI resources such as HTML or remote-rendered components, allowing more engaging and functional interactions. mcp-ui introduces a standardized approach where tools and their associated interfaces are linked through metadata, enabling clients to automatically discover and display the correct UI. ...
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  • 2
    Fast MCP

    Fast MCP

    A Ruby Implementation of the Model Context Protocol

    Fast MCP is a lightweight framework designed to simplify the development and deployment of servers that implement the Model Context Protocol. The Model Context Protocol enables AI assistants and applications to connect with external tools, services, and data sources through a standardized interface. Fast-mcp provides developers with a streamlined toolkit for building MCP servers that expose application functionality to AI agents.
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  • 3
    MCP Router

    MCP Router

    A Unified MCP Server Management App (MCP Manager)

    MCP Router is an open-source management platform designed to simplify the deployment and coordination of Model Context Protocol (MCP) servers used by AI agents. MCP is an emerging standard that allows language models and AI assistants to connect to external tools, data sources, and services through a structured interface. The MCP Router project acts as a centralized manager that helps developers run, configure, and coordinate multiple MCP servers within a single environment. ...
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  • 4
    MCP Apps

    MCP Apps

    Official repo for spec & SDK of MCP Apps protocol

    MCP Apps is an extension ecosystem for a context-driven AI application protocol that lets developers build modular, interoperable apps that work together in shared model environments. The project defines standards, interfaces, and reusable components so different application modules can communicate context, state, and user intent reliably while preserving privacy and user control.
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  • 5
    Blueprint MCP

    Blueprint MCP

    Diagram generation for understanding codebases and system architecture

    ...Blueprint-MCP also supports templated server configurations so game environments can be versioned, replicated, and deployed consistently across regions or cloud providers. The control plane includes hooks for event-driven automation, allowing rules like “scale up at peak hours” or “restart unhealthy nodes automatically” to be codified and managed without manual intervention.
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  • 6
    PAL MCP

    PAL MCP

    The power of Claude Code / GeminiCLI / CodexCLI

    PAL MCP is an open-source Model Context Protocol (MCP) server designed to act as a powerful middleware layer that connects AI clients and tools—like Claude Code, Codex CLI, Cursor, and IDE plugins—to a broad range of underlying AI models, enabling collaborative multi-model workflows rather than relying on a single model. It lets developers orchestrate interactions across multiple models (including Gemini, OpenAI, Grok, Azure, Ollama, OpenRouter, and custom/self-hosted models), preserving conversation context seamlessly as tasks evolve and substeps run across tools. ...
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  • 7
    mcp-cli

    mcp-cli

    Lighweight CLI to interact with MCP servers

    mcp-cli is a lightweight, Bun-based command-line interface (CLI) tool that simplifies how developers discover, inspect, and interact with Model Context Protocol (MCP) servers from the terminal. The Model Context Protocol is an emerging open standard for connecting language models and external tools, and mcp-cli helps mitigate common pain points like context window bloat by dynamically discovering MCP servers and reducing token load during interactions. ...
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  • 8
    FlowLens MCP

    FlowLens MCP

    Open-source MCP server that gives your coding agent

    ...The MCP server then loads this captured “flow” and exposes it to the AI agent via the Model Context Protocol (MCP), letting the agent examine, search, filter, and reason about the session just as a human developer would, without needing the agent to re-run the flow or rely on minimal reproduction data (logs, screenshots).
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  • 9
    MiniMax-MCP

    MiniMax-MCP

    Official MiniMax Model Context Protocol (MCP) server

    MiniMax-MCP is the official Model Context Protocol (MCP) server for accessing MiniMax’s multimodal generative APIs from MCP-compatible clients. It acts as a bridge between tools like Claude Desktop, Cursor, Windsurf, OpenAI Agents, and the MiniMax platform, exposing capabilities such as text-to-speech, voice cloning, image generation, text-to-image, video generation, image-to-video, text-to-video, and music generation.
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  • 10
    Browser MCP

    Browser MCP

    Browser MCP is a Model Context Provider (MCP) server

    Browser MCP is an MCP server plus browser integration that lets AI apps automate the user’s real browser instead of launching a separate automation session. By adapting a Playwright-style approach to control the running browser profile, it reuses logged-in sessions and cookies, which reduces re-authentication friction and helps avoid some bot-detection heuristics.
    Downloads: 0 This Week
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  • 11
    BrowserTools MCP

    BrowserTools MCP

    Monitor browser logs directly from Cursor

    Browser Tools MCP is an MCP server and Chrome extension that gives AI agents safe, structured access to your live browser for debugging and automation. It can capture console/network logs, DOM snapshots, and screenshots, and expose them as typed resources the agent can query or act on. The design aims to make IDE agents (e.g., Cursor, Claude Desktop) more “web-aware,” enabling workflows like reproducing a bug, collecting evidence, and proposing fixes without copy-pasting. ...
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  • 12
    FastAPI-MCP

    FastAPI-MCP

    Expose your FastAPI endpoints as Model Context Protocol (MCP) tools

    fastapi_mcp lets you expose existing FastAPI endpoints as Model Context Protocol (MCP) tools with minimal setup, so AI agents can call your app as first-class tools. Rather than acting as a thin converter, it’s built as a native FastAPI extension that understands dependency injection, so you can reuse Depends() for authentication and authorization across your MCP tools. The server speaks directly to your app over its ASGI interface, avoiding extra HTTP hops between the MCP layer and your API, which reduces latency and simplifies deployment. ...
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  • 13
    MCP Hub

    MCP Hub

    An MCP client for Neovim that seamlessly integrates MCP servers

    ...Explore MCP capabilities and generate starter code with the interactive code builder. An MCP client for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins.
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  • 14
    MCP Chat

    MCP Chat

    Open Source Generic MCP Client for testing & evaluating mcp servers

    mcp-chat is an open-source, generic command-line interface (CLI) client designed for testing and evaluating Model Context Protocol (MCP) servers and agents. It allows users to interact with various MCP servers, facilitating seamless communication with AI models. The tool supports both interactive and direct prompt modes, enhancing flexibility in user interactions. ​
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  • 15
    Simple MCP

    Simple MCP

    A simple TypeScript library for creating MCP servers

    simple-mcp is a TypeScript library designed to facilitate the creation of Model Context Protocol (MCP) servers. It offers a straightforward API, enabling developers to set up MCP servers with minimal code. The library emphasizes type safety through full TypeScript integration and incorporates parameter validation using Zod. It fully implements the MCP, ensuring compatibility with MCP clients. ​
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  • 16
    LangChain MCP

    LangChain MCP

    Model Context Protocol tool support for LangChain

    langchain-mcp provides Model Context Protocol (MCP) tool support for LangChain, a framework for developing applications powered by language models. It allows developers to create an MCPToolkit with a client.
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  • 17
    MCP Golang

    MCP Golang

    Write Model Context Protocol servers in few lines of go code

    mcp-golang is an unofficial Go implementation of the Model Context Protocol (MCP), allowing developers to write MCP servers and clients with minimal code. It aims to simplify the development process by providing a straightforward API for integrating MCP functionalities into Go applications. Comprehensive documentation is available to assist developers in getting started. ​
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  • 18
    MCP Framework

    MCP Framework

    A framework for writing MCP (Model Context Protocol) servers

    The mcp-framework is a TypeScript framework for building Model Context Protocol (MCP) servers elegantly. It provides an out-of-the-box architecture with automatic directory-based discovery for tools, resources, and prompts. The framework offers powerful MCP abstractions, enabling developers to define components in an elegant manner, and includes a CLI to streamline the server setup process. ​
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  • 19
    CodeMirror MCP

    CodeMirror MCP

    CodeMirror extension to hook up a Model Context Provider (MCP)

    The codemirror-mcp project is a CodeMirror extension that integrates the Model Context Protocol (MCP) into the CodeMirror editor. This extension enhances the editor's capabilities by providing features such as autocompletion for resource mentions and prompt commands, as well as visual styling for these elements. It aims to streamline the user experience when working with MCP within the CodeMirror environment. ​
    Downloads: 0 This Week
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  • 20
    HackMD MCP

    HackMD MCP

    A Model Context Protocol server for integrating HackMD

    The HackMD MCP server integrates HackMD's note-taking platform with AI assistants via the Model Context Protocol. This allows AI models to interact with HackMD, enabling functionalities such as retrieving, creating, and managing notes through AI-driven commands. ​
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  • 21
    MCP Linear

    MCP Linear

    MCP server that enables AI assistants to interact with Linear project

    The MCP Linear server is a Model Context Protocol (MCP) implementation that enables AI assistants to interact with the Linear project management system through natural language. It allows users to retrieve, create, and update issues, projects, and teams within Linear, facilitating seamless integration between AI models and project management workflows. ​
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  • 22
    MCP Atlassian

    MCP Atlassian

    MCP server that integrates Confluence and Jira

    The MCP Atlassian server integrates Atlassian products like Confluence and Jira with the Model Context Protocol. It supports both Cloud and Server/Data Center deployments, enabling AI models to interact with these platforms securely. ​
    Downloads: 0 This Week
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  • 23
    MCP HFSpace

    MCP HFSpace

    MCP Server to Use HuggingFace spaces, easy configuration

    The MCP-HFSpace server is an MCP server designed to connect AI assistants with Hugging Face Spaces. It simplifies the configuration process and is compatible with Claude Desktop mode, allowing for seamless integration and utilization of Hugging Face's machine learning models and applications. ​
    Downloads: 0 This Week
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  • 24
    Contentful MCP

    Contentful MCP

    MCP (Model Context Protocol) server for the Contentful Management API

    The Contentful MCP Server is an MCP server implementation that integrates with Contentful's Content Management API, providing comprehensive content management capabilities. It allows AI assistants to interact with Contentful, facilitating tasks such as content retrieval and management. ​
    Downloads: 0 This Week
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  • 25
    MCP GraphQL

    MCP GraphQL

    Model Context Protocol server for GraphQL

    The MCP-GraphQL server is a Model Context Protocol implementation that enables Large Language Models (LLMs) to interact with GraphQL APIs. It provides schema introspection and query execution capabilities, allowing models to dynamically discover and utilize GraphQL APIs. ​
    Downloads: 0 This Week
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