Open Source MCP Projects
The Model Context Protocol (MCP) is an open standard for connecting AI applications to external tools, data sources, and services through a consistent interface. It helps reduce the need for custom integrations between each assistant and each system, making it easier to expose capabilities such as search, file access, and task execution while keeping communication structured.
92 repositories · updated October 3, 2026
ZenNotes: Keyboard-First Markdown Notes with Vim, Diagrams, and MCP Integration
ZenNotes is a versatile, keyboard-first Markdown notes app designed for speed and flexibility. It stores notes as plain Markdown files, offering Vim-friendly editing, diagram support, and integration with MCP tools. Available as a desktop app (Electron) and a self-hosted web app, ZenNotes provides a powerful solution for organizing your thoughts.
Meshtastic-MCP: AI Tooling for Meshtastic Device Control and Testing
Meshtastic-MCP provides an MCP server and agent skills designed for AI tooling to discover, drive, observe, and test Meshtastic devices and applications. It offers a comprehensive suite of capabilities, from portable device control to advanced hardware-free end-to-end testing and replay functionalities. This project aims to streamline the development and testing of Meshtastic ecosystems.
dcc-mcp-blender: AI-Driven 3D Workflows with an Embedded MCP Server
dcc-mcp-blender is a powerful Blender addon that integrates an embedded Streamable HTTP MCP server directly into Blender. This allows any MCP-compatible AI client to seamlessly control and automate your 3D modeling, animation, and rendering workflows. It offers over 200 pre-built tools and an extensible skill system for robust production environments.
agent-factory: Generate Executable AI Agent Workflows
Agent Factory turns natural-language task descriptions into executable Python agent workflows, using MCP tools and the any-agent library. It is aimed at developers who want to create, evaluate, and run agents without hand-coding every workflow.
Codex MCP Server: Bridge Claude Code with OpenAI Codex CLI
Codex MCP Server is an essential tool that acts as a bridge between Claude Code and OpenAI's Codex CLI. It allows developers to integrate powerful AI-driven code analysis, generation, and review capabilities directly into their editor. This server wrapper enables Claude Code to fully leverage Codex's advanced AI functionalities.
awesome-devops-mcp-servers: A Curated List of DevOps-Focused MCP Servers
Discover awesome-devops-mcp-servers, a comprehensive GitHub repository featuring a curated list of Model Context Protocol (MCP) servers tailored for DevOps tools and capabilities. This resource enables AI models to securely interact with a wide range of local and remote resources, enhancing automation and intelligence in DevOps workflows. Explore servers for infrastructure as code, container orchestration, cloud providers, security, and more.
awesome-a2a: A Curated List of Agent2Agent (A2A) Resources
The awesome-a2a repository is a comprehensive, curated list of Agent2Agent (A2A) protocol servers, clients, tools, and frameworks. It serves as a central hub for developers looking to explore and build interoperable AI agent systems. This resource helps in discovering various A2A-compliant implementations and related utilities.
MetaMCP: Unifying Model Context Protocol Servers with an All-in-One Gateway
MetaMCP is a powerful, self-hosted solution that acts as an aggregator, orchestrator, middleware, and gateway for Model Context Protocol (MCP) servers. It allows developers to dynamically combine multiple MCP servers into a single, unified endpoint, enhancing tool management and agent development. This TypeScript-based project simplifies the deployment and management of AI tools within a Dockerized environment.
microsoft/skills: Empowering AI Coding Agents with Domain-Specific Knowledge
The microsoft/skills repository provides a comprehensive collection of skills, custom agents, and configurations designed to enhance AI coding agents. It offers domain-specific knowledge for working with Azure SDKs and Microsoft AI Foundry, enabling more effective and context-driven development. Developers can leverage these resources to ground agents like GitHub Copilot with specialized expertise.
mcp-gateway: Route MCP Servers and REST APIs Through One Endpoint
A Rust gateway that brings MCP servers and REST APIs behind one endpoint, with tools discovered on demand through a compact meta-tool surface. It also bridges MCP protocol revisions and adds centralized routing and policy controls.
ADR: Secure and Monitor Enterprise AI Agents
ADR is an enterprise security toolkit for discovering AI tools, collecting agent activity, benchmarking defenses, and detecting risky behavior. It is aimed at security teams evaluating or monitoring AI agents across employee endpoints and customer-facing systems.
OpenSandbox: Run AI Agents in Isolated Sandboxes
OpenSandbox provides isolated environments where AI applications can run code, commands, and browser or desktop tasks. It supports local Docker use and Kubernetes deployment through a shared sandbox API.