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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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    This MCP server enables interaction with the Punjab State Board of Technical Education and Industrial Training API, allowing access to technical education services and information through natural language.
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    A teaching repository that instructs non-technical users how to create Model Completion Protocol (MCP) servers for data analysis tasks, requiring only basic technical setup and understanding.
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    Provides technical analysis tools for cryptocurrency trading data, calculating EMAs (12 and 26 periods) for Binance pairs using MongoDB for data storage.
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    Enables searching for drugs and exploring ontology terms in the Cortellis database, providing access to comprehensive drug development status information with structured JSON responses.
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    Provides reliable access to the Ontology Lookup Service (OLS) API, enabling AI assistants to accurately search and retrieve terms from biological and medical ontologies.
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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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    Allows AI assistants to search the Library of Congress Subject Headings (LCSH) through a simple API interface, making it easy to query and retrieve official subject headings and related terms.
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    Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.
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    BSD 3-Clause
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    An MCP server providing a range of cryptocurrency technical analysis indicators and strategies.
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    Empower LLMs with fine-grained visual understanding — detect, localize, and describe anything in images with natural language prompts.
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    Apache 2.0
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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 server that enables real-time checking and automated correction suggestions for Japanese technical documents using textlint's linting capabilities.
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    An intelligent server that provides semantic code search, domain-driven analysis, and advanced code understanding for large codebases using LLMs and vector embeddings.
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    Provides seamless access to Grok AI's capabilities (chat completion, image understanding, and function calling) directly from Cline via the Model Context Protocol.
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    Provides a project memory bank and RAG context provider for enhanced code understanding and management through vector embeddings, integrated with RooCode and Cline.
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    MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.
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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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    A Model Context Protocol server implementation that enables LLMs to interact with NebulaGraph database for graph exploration, supporting schema understanding, queries, and graph algorithms.
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    Apache 2.0
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    An intelligent codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.
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    MIT License
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    Enables neural memory sequence learning with a memory-augmented model for improved code understanding and generation, featuring state management, novelty detection, and model persistence.
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    This MCP scraps vinted for product info. Disclaimer: This script is designed for educational purposes only. It is intended to demonstrate web scraping techniques and should not be used for any commercial or personal gain. Please note that using this software may violate the terms of service of Vint
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    GPL 3.0
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    This server implements the Model Context Protocol to facilitate meaningful interaction and understanding development between humans and AI through structured tools and progressive interaction patterns.
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    MIT License
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    Enables seamless integration with any LLM client supporting MCP for creating and optimizing technical content and product positioning using Open Strategy Partners' methodologies.
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    An MCP server that integrates with the AlphaVantage financial data API, providing access to stock market data, technical indicators, and fundamental financial information.
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    MIT License
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    Enables automatic GitHub issue creation from Git diffs. Generates structured issue templates with summaries, technical notes, and appropriate labels based on code changes.
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    An MCP-compatible server that enables LLM agents to interact with Aucterra's document understanding APIs, providing structured access to document classification and field extraction services.
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    Integrates with Claude to enable intelligent querying of documentation data, transforming crawled technical documentation into an actionable resource that LLMs can directly interact with.
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    Apache 2.0
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    Provides curated documentation access via the Gemini API, enabling users to query and interact with technical docs effectively by overcoming context and search limitations.
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    A comprehensive financial data analysis server providing Yahoo Finance data for stocks, cryptocurrencies, technical analysis, portfolio management, and economic indicators through a clean interface.
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    A Model Context Protocol server that enhances AI agents by providing deep semantic understanding of codebases, enabling more intelligent interactions through advanced code search and contextual awareness.
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    MIT License
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    A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.
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    Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.
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