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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.

9,482 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Generates personalized learning paths by integrating with YouTube, Google Drive, and Notion to create comprehensive learning experiences based on user goals.
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    Enables autonomous learning from interactions through pattern recognition and machine learning techniques. Continuously improves performance by analyzing tool usage, providing predictive suggestions, and sharing knowledge across MCP servers.
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    An MCP server that generates comprehensive Learning Hour content for Technical Coaches, enabling teams to practice technical excellence through structured deliberate practice sessions.
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    A FastMCP integration with Hyperskill that allows AI agents to explain programming topics and search for programming resources using Hyperskill's learning materials.
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    A Streamlit-based web application that generates personalized learning paths by integrating with YouTube, Google Drive, and Notion services through the Model Context Protocol.
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    A comprehensive learning project providing hands-on experience with Model Context Protocol (MCP) server development, featuring calculator and text utility tools for integration with Claude Desktop.
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    A tutorial MCP server for learning the Model Context Protocol by building file and system tools. Provides hands-on experience creating custom tools that enable AI models to interact with files and execute system commands.
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    A comprehensive learning platform for Model Context Protocol development that teaches MCP concepts through hands-on modules including text processing, file operations, and database integration. Designed as an educational tool with progressive difficulty levels from basic to advanced MCP server development.
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    A minimal MCP server that enables searching through pre-scraped React documentation using a hybrid approach combining DuckDB full-text search and transformer-based reranking.
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    A comprehensive tutorial project that teaches Model Context Protocol (MCP) development from beginner to advanced levels, covering both server-side and client-side development.
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    A bridge that provides AI assistants with access to WaniKani user data and functionality, enabling them to retrieve learning progress, identify difficult items, and offer personalized Japanese language learning assistance.
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    Persistent memory and pattern learning for AI coding assistants via MCP.
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    Provides AI systems with access to Onyx programming language documentation through web crawling and intelligent search capabilities.
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    Provides access to Zilliqa blockchain documentation and API examples through search capabilities and examples in multiple programming languages.
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    Docs for HMR and reactive programming in Python. See https://pyth-on-line.promplate.dev/hmr for more info
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    A Model Context Protocol tool for analyzing code repositories, performing security scans, and assessing code quality across multiple programming languages.
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    MIT License
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    A server that automatically reviews code style and suggests improvements, with special focus on Flutter/Dart projects and general programming styles.
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    An MCP server that integrates with mem0.ai to help users store, retrieve, and search coding preferences for more consistent programming practices.
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    A comprehensive server that enables AI assistants to generate, configure, and manage Doxygen documentation for various programming languages through a clean interface.
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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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    An MCP server implementation that helps Claude remember and learn from programming errors by storing, retrieving, and finding similar errors with full context.
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    Fetches and extracts comprehensive package documentation from multiple programming language ecosystems (JavaScript, Python, Java, etc.) for LLMs like Claude without requiring API keys.
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    A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.
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    A lightweight server that simplifies building and flashing Zephyr RTOS projects through a REST API, allowing remote control of the microcontroller programming workflow.
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    Provides code completion, bug fixing, and test generation for multiple programming languages, integrating with the Mistral Codestral API to enhance code development processes.
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    Analyzes codebases to generate dependency graphs and architectural insights across multiple programming languages, helping developers understand code structure and validate against architectural rules.
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    Transforms Claude from a code generator into a programming partner capable of testing, debugging, and optimizing code automatically through a secure execution environment.
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    A Cloudflare Workers-based service that enables intelligent searching, automatic code snippet recording, and statistical analysis of programming knowledge stored in Notion databases.
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    Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.
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    Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.
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    Enhances large language models with competitive programming knowledge by leveraging OI-Wiki content through vector search, allowing models to retrieve relevant algorithms and techniques.
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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