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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 -

Matching MCP tools:

Matching MCP servers:

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    A Model Context Protocol (MCP) server that allows AI models to safely access and interact with local file systems, enabling reading file contents, listing directories, and retrieving file metadata.
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    MIT License
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    A comprehensive MCP (Model Context Protocol) server for file system operations, providing Claude and other AI assistants with access to local files and directories.
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    A server implementing the Model Context Protocol that provides filesystem operations (read/write, directory management, file movement) through a standardized interface with security controls for allowed directories.
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    A beginner-friendly MCP server that enables AI to explore file systems through tools for listing directories, reading files, searching with wildcards, and getting file metadata. Perfect for learning MCP development while providing practical file system interaction capabilities.
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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
    • Apple
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    A simple Model Context Protocol server that enables AI assistants to interact with local file systems, allowing them to read, write, update, and delete files within a specified project directory.
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    MIT License

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    HTTP-4-MCP configuration tool allows you to easily convert HTTP API into MCP tool, writing the code written. Through simple interface operation, you can quickly configure an mcp-server.
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    Mulan Permissive Software License, Version 2
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    Provides deep git file-level forensics tools to analyze detailed file histories, changes, and patterns within git repositories, focusing on individual file analysis rather than repository-wide operations.
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    Apache 2.0
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    Enables multimodal AI capabilities through GLM-4.5V API for image processing, visual querying with OCR/QA/detection modes, and file content extraction from various formats including PDFs, documents, and images.
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    Apache 2.0
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    Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.
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    A Model Context Protocol server that enables enhanced file system operations including reading, writing, copying, moving files with streaming capabilities, directory management, file watching, and change tracking.
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    MIT License
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    A lightweight and modular framework for building MCP-based file management systems with standardized module structure, flexible configuration, and extensible functionality registration mechanisms.
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    MIT License
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    Enables comprehensive file operations including reading, writing, searching, and editing files with advanced features like regex-based replacements, line-specific modifications, and directory-wide search capabilities. Provides 8 robust tools for safe file manipulation with content verification and detailed error handling.
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    Automatically organizes files in your Downloads folder by categorizing them into appropriate directories based on file types.
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    Provides HTML file preview and analysis capabilities. This server enables capturing full-page screenshots of local HTML files and analyzing their structure.
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    This server provides an interface for performing basic file system operations such as navigation, reading, writing, and file analysis, allowing users to manage directories and files efficiently.
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    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
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    MIT License
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    A MCP server that allows searching for files in the filesystem based on path fragments, returning file metadata including name, path, size, and creation date.
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    This server provides an API to query Large Language Models using context from local files, supporting various models and file types for context-aware responses.
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    A tool that helps rank codebase files by importance (1-10 scale), track file dependencies, and provide summaries, all accessible through a simple JSON-based interface.
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    GPL 3.0
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    This MCP server enforces pre-read checks and detailed commit documentation to prevent unauthorized file modifications, ensuring write and diff operations are preceded by explicit reads.
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    Enables merging multiple files into a single file through a simple MCP interface. Provides a secure way to combine files while restricting access to only allowed directories.
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    Apache 2.0
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    Enables Claude Desktop to download files from web URLs with automatic browser fallback for JavaScript-heavy sites. Supports smart redirect handling, custom file naming, and cross-platform compatibility.
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    An MCP server that allows Claude and other LLMs to manage persistent memories across conversations through text file storage, enabling commands to add, search, delete and list memory entries.
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    Enables safe file system operations including reading, writing, updating, and deleting files with built-in security safeguards, automatic backups, and comprehensive error handling. Provides directory listing, file metadata extraction, and protects against operations on system-critical paths.
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    Enables conversational image generation and editing with Google's Gemini 2.5 Flash Image Preview. Supports text-to-image generation, natural language image editing, multi-image composition, and style transfer with optional file saving.
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    A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.
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    MIT License
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    An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.
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    MIT License
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    Automates file system operations through natural language commands using a combination of LLM (Ollama), MCP tools, and a Python bridge agent.
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