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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.

9,443 servers. Last updated -

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Matching MCP servers:

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    Provides a stateful Django shell environment that allows AI assistants to execute Python code directly against Django projects. Maintains persistent session state between calls, enabling iterative exploration of models, queries, and debugging.
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    MIT License
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    Enables LLM assistants to explore Django project structure through read-only resources and optionally execute Python code in a stateful Django shell environment. Provides access to project configuration, app details, model information, and interactive development capabilities.
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    Provides AI assistants easy access to Django best practices by splitting comprehensive styleguide documentation into AI-friendly sections accessible through the Model Context Protocol.
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    A Django app that implements Firebase Model Context Protocol server, enabling AI agents to interact with Firebase services (Authentication, Firestore Database, Cloud Storage) through a standardized protocol.
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    A Model Context Protocol service that wraps Django's migration commands as MCP endpoints, making it easy to manage migrations across multiple services and integrate with CI/CD pipelines.
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    An MCP server that enforces unit testing standards by linting code and guiding agentic coding tools (like Gemini CLI or Claude Code) to follow best practices in test-driven development.
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    An MCP server with comprehensive CI/CD workflows including unit tests, integration tests, and end-to-end validation. Features automated testing across multiple Node.js versions with coverage reporting and linting validation.
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    An MCP server that executes tox commands to run Python tests within a project using pytest, allowing users to run all tests or specific test groups, files, cases, or directories.
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    A Model Context Protocol server that provides safe, intelligent read/write access to NetBox instances, designed with safety-first principles for Large Language Model automation.
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    Enables Cursor AI to interact with Figma designs, allowing users to read design information and programmatically modify elements through natural language commands.
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    Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.
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    The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format
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    An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.
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    An MCP server that converts Excel and Apple Numbers files to PDF format, enabling AI assistants like Claude to perform file conversion directly through conversation.
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    Enables interaction with the dev.to platform through its public API. Allows users to retrieve articles, user profiles, tags, comments, and perform article searches without requiring authentication.
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    A Model Context Protocol server that converts Markdown content to HTML format.
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    Allows Cursor AI to communicate with Figma for reading designs and modifying them programmatically through a Model Context Protocol integration.
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    Translates Japanese text into English using the Textra API service, enabling LLMs with limited Japanese understanding to process Japanese instructions.
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    A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.
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    Enables Claude Desktop and other AI tools to interact directly with Figma, allowing for powerful AI-assisted design capabilities through natural language commands.
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    An MCP server that converts Markdown to HTML, supporting both stdio and HTTP interfaces for easy integration with Cursor and other MCP clients.
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    The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.
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    Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.
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    Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.
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    Converts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.
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    A Multi-Agent Conversation Protocol server that enables interaction with HubSpot's Business Units API, allowing users to manage company business units through natural language.
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    A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
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    A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.
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    Enables comprehensive interaction with NetBox infrastructure management through both read and write operations. Supports full CRUD operations for devices, IP addresses, sites, racks, and other NetBox objects through natural language commands.
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    Apache 2.0
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    Maestro is the simplest and most effective UI testing framework for Mobile and Web. Maestro MCP allows you to control emulators, interact with apps, write and automatically debug UI tests on Claude Code, Cursor or Windsurf.
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    Provides precise conversions between different units of measurement including temperature, length, weight, and volume.
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    • Apple