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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,503 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.
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    MIT License
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    An MCP server providing read-only access to Linear issues for language models, allowing them to fetch issue details and comments using a Linear API token.
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    MIT License
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    Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.
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    MIT License
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    Analyzes frontend project code (React, Vue, Angular) and converts it into AI-understandable flow diagrams and object structures. Provides tools for code analysis, variable/function/component inspection, and project structure insights.
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    An MCP server that visually reviews UI edit requests by comparing screenshots before and after edits, ensuring changes satisfy user requests.
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    Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.
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    MIT License

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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
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    MIT License
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    An MCP server that reviews UI edit requests by comparing before and after screenshots, providing visual feedback on whether changes satisfy the user's requirements.
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    GPL 2.0
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    A server that enables AI assistants to execute JavaScript code with persistent context through stateful REPL sessions, file operations, and package management features.
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    Allows AI models to run JavaScript/TypeScript code through Model Context Protocol tool calls, supporting both one-time script execution and stateful REPL sessions with npm package integration.
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    This project aims to build a Claude Code MCP server and implement its associated tools (explain\_code, review\_code, fix\_code, edit\_code, test\_code, simulate\_command, your\_own\_query). The server is implemented using Node.js and the MCP SDK. It receives tool requests from clients via Stdio, dynamically
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    MIT License
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    An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
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    MIT License
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    Enables comprehensive code analysis including quality assessment, security vulnerability detection, refactoring suggestions, complexity calculations, and automatic documentation generation for multiple programming languages.
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    MIT License
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    Analyzes codebases using Repomix and LLMs to provide structured code reviews with specific issues and recommendations, supporting multiple LLM providers including OpenAI, Anthropic, and Gemini.
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    Allows LLM tools like Claude Desktop and Cursor AI to access and summarize code files through a Model Context Protocol server, providing structured access to codebase content without manual copying.
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    A secure Model Context Protocol server that allows AI assistants and LLM applications to safely execute Python and JavaScript code snippets in containerized environments.
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    MIT License
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    A FastMCP server providing powerful code editing tools including precise file modifications with diff-based operations, file creation and reading with line numbers, and more tools for code editing workflows.
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    MIT License
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    A comprehensive code analysis and management tool that integrates with Claude Desktop to analyze code at project and file levels, helping adapt changes to projects intelligently.
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    MIT License
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    A Model Context Protocol server that helps large language models process code repositories by providing file tree generation, code merging, and code analysis capabilities.
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    MIT License
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    Allows LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies for efficient code execution.
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    MIT License
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    A smart code retrieval tool based on Model Context Protocol that provides efficient and accurate code repository search capabilities for large language models.
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    A GitHub integration for Claude Desktop that provides access to GitHub features directly from Claude, offering 15 powerful tools for repository management, issues, pull requests, and code operations.
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    MIT License
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    A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup
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    MIT License
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    An unofficial JavaScript SDK to create customized servers for the Model Context Protocol, allowing definition of prompts, resources, and tools for tailored interactions.
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    Apache 2.0
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    An MCP server to create secure code sandbox environment for executing code within Docker containers.
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    MIT License
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    Enables comprehensive GitHub PR reviews through Cursor's AI by fetching PR diffs, running static analysis tools (ESLint, Prettier, TypeScript, Semgrep), executing tests, and generating detailed code review reports with inline comments.
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    Provides a secure, isolated JavaScript execution environment with configurable time and memory limits for safely running code from Claude.
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    A Cloudflare Worker that analyzes source code to provide comprehensive explanations including architecture diagrams, core functionality analysis, and component breakdowns across multiple programming languages.
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    Apache 2.0
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    A MCP server for managing and storing code snippets in various programming languages, allowing users to create, list, and delete snippets via a standardized interface.
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    MIT License
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    An MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.
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    MIT License
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    Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers with zero native dependencies.
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