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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.

10,800 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A Model Context Protocol server that allows LLMs to interact with Python environments, enabling code execution, file operations, package management, and development workflows.
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    Postgres Pro is an open source Model Context Protocol (MCP) server built to support you and your AI agents throughout the entire development process—from initial coding, through testing and deployment, and to production tuning and maintenance.
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    Enables comprehensive PostgreSQL database management through natural language including queries, schema operations, user management, and administrative tasks. Features enterprise-grade connection pooling, transaction support, and full database administration capabilities.
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    A server implementing the Model Context Protocol (MCP) for Cursor that allows using a PostgreSQL database as storage for model contexts, enabling secure database exploration and querying.
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    A JSON-based database MCP server with JWT authentication that enables user management, project tracking, department analysis, meeting management, and equipment tracking. Integrates with Claude Desktop to provide secure CRUD operations and analytics through natural language commands.
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    Enables GitHub Copilot and other LLMs to execute read-only SQL queries against Oracle databases with secure connection pooling and schema introspection capabilities.
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    ISC License
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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    A Claude integration that enables updating various database types (PostgreSQL, MySQL, MongoDB, SQLite) from CSV and Excel files through natural language commands.
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    Apache 2.0
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    A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.
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    MIT License
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    A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.
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    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
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    MIT License
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    An MCP server that enables users to fetch Python documentation using the Brave Search API through natural language queries.
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    Apache 2.0
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    This MCP server provides unified diffs of two text inputs using Python's standard library difflib.
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    Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.
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    MIT License
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    A Model Context Protocol server that enables LLMs like Claude to interact with SQLite and SQL Server databases, allowing for schema inspection and SQL query execution.
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    A secure MCP server enabling read-only access and file search capabilities within a specified directory, while respecting .gitignore patterns.
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    MIT License
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    This server enables Claude to directly interact with SQLite, SQL Server, PostgreSQL, and MySQL databases through the Model Context Protocol, allowing for query execution, table management, and data export capabilities.
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    MIT License
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    A Python-based server allowing seamless integration with JIRA for managing and interacting with projects through custom APIs.
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    Apache 2.0
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    A Python-powered Model Context Protocol server that provides safe database inspection and read-only querying capabilities for MySQL databases. Enables LLM agents to explore database schemas, execute read-only SQL queries, and retrieve metadata through JSON-RPC communication.
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    A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.
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    Enables Claude to connect to and interact with SQLite, SQL Server, PostgreSQL, and MySQL databases through natural language. Supports executing queries, managing tables, exporting data, and storing business insights with authentication options including AWS IAM.
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    MIT License
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    An extended PostgreSQL management and analysis server that provides database professionals with tools for schema management, query optimization, performance monitoring, and health analysis through a collection of specialized functions.
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    MIT License
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    A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.
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    MIT License
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    A Middleware/Control Plane server that allows AI code agents to securely execute queries against various databases (PostgreSQL, MySQL, MongoDB, Oracle) without directly exposing credentials.
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    This server offers secure, read-only access to directory files via the MCP, supporting file searching, .gitignore compliance, path traversal protection, and MIME type detection using the 'file://' URI scheme.
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    MIT License
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    A Model Context Protocol server that enables AI assistants like Claude to perform Python development tasks through file operations, code analysis, project management, and safe code execution.
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    A Model Context Protocol server that extracts and analyzes Python code structures, focusing on import/export relationships between files to help LLMs understand code context.
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    An interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.
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    Apache 2.0
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    Provides an interactive Python REPL environment that maintains persistent session state, allowing users to execute Python code and access session history.
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