Open Source MCP Projects
Discover 182 open source MCP repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. MCP projects here are most often combined with AI Agents, TypeScript and Developer Tools. Last updated October 4, 2026.
182 repositories · updated October 4, 2026

mongodb-mcp-server: Connect AI Agents to MongoDB
A TypeScript Model Context Protocol server that lets AI agents query MongoDB databases and manage MongoDB Atlas resources. It suits developers who want database access through MCP, with read-only mode available for safer exploration.

context7: Give AI Coding Tools Current Library Docs
Context7 retrieves version-aware library documentation and code examples for AI coding assistants, helping reduce outdated guidance and invented APIs. It offers both a CLI-and-skills setup and an MCP server integration.

opendia: Connect AI Models to Your Browser
OpenDia is an MCP server and browser extension that lets compatible AI clients inspect and control your existing browser. It suits people who want local browser automation across their logged-in sessions, tabs, and pages.

utcp-specification: Standardize AI Tool Discovery and Calls
UTCP is a protocol specification for discovering and calling tools across different providers and transports. It helps AI systems and other clients use a consistent interface for tools exposed over HTTP, WebSocket, CLI, and other protocols.

harness-sdk: Build and Run AI Agents in Python and TypeScript
Strands Agents provides Python and TypeScript tools for building AI agents, from a ready-made harness to a customizable agent SDK. It suits teams that want model flexibility and control over agent execution without a hosted control plane.

mcp-atlassian: Connect AI Assistants to Jira and Confluence
An MCP server that lets AI assistants search and work with Jira issues and Confluence pages. It supports Atlassian Cloud and Server/Data Center deployments, making it useful for teams that want these workflows available through MCP-compatible clients.

FlyEnv: Manage Native Local Development Stacks
FlyEnv is a cross-platform desktop app for running and managing local development runtimes, databases, web servers, and project sites. It suits developers who want a native alternative to containers for everyday local work, with project-level runtime switching and optional AI and MCP workflows.

alsoasked-mcp: Search People Also Ask Data with MCP
alsoasked-mcp connects MCP-compatible assistants to the AlsoAsked API for Google People Also Ask research. It suits SEO and content teams that want to explore question hierarchies by search term, language, and region from an assistant workflow.

BrowserOS: Browse with AI Agents and Automate Web Tasks
BrowserOS is a Chromium-based project with two desktop browsers: one for AI agents to automate logged-in web tasks, and another with an AI assistant for people browsing. It connects to MCP-compatible agents and keeps session data on your machine.

Qwen-Agent: Build Tool-Using LLM Applications
Qwen-Agent is a Python framework for building Qwen-based assistants that can call tools, plan tasks, and work with documents. Use it to prototype or deploy agent applications when you need integrations such as MCP, code execution, or retrieval-augmented generation.

byterover-cli: Give Coding Agents Persistent Project Memory
ByteRover CLI helps AI coding agents retain structured project knowledge across sessions. Developers can curate, query, and version context locally, with optional cloud sync and integrations for coding tools.

autogen: Build Multi-Agent AI Applications
AutoGen is a Python framework for building AI agents that work independently or alongside people. It supports multi-agent orchestration, model and tool integrations, and prototyping, but is now in maintenance mode.