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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.

6,854 servers. Last updated -

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Matching 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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    MIT License
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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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    An MCP server that provides access to arXiv papers through their API.
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    MIT License
    • Apple
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    An MCP-based service that analyzes user search keywords to determine their intent, providing classifications, reasoning, references, and search suggestions to support SEO analysis.
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    A minimal example server implementing the Model Context Protocol, providing addition and multiplication tools for learning and experimentation with MCP clients.
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    Python

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    A server that generates Master Content Plans (MCPs) by aggregating web resources and organizing them into structured learning paths for any topic.
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    A metacognitive pattern interrupt system that helps prevent AI assistants from overcomplicated reasoning paths by providing external validation, simplification guidance, and learning mechanisms.
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    MIT License
    • Apple
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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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    Securely connects AI agents to multiple databases simultaneously while enabling collaborative learning from team query patterns, all while keeping data private by running locally.
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    An MCP server that enables LLMs to count occurrences of specific letters within words, created as a learning example for the Model Context Protocol.
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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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    An open-source "brain" for AI employees that enables users to create, manage, and improve persistent AI agents with their own memory and learning capabilities.
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    A Model Context Protocol server that enables interaction with the Canvas Learning Management System API, allowing users to manage courses, assignments, enrollments, and grades within Canvas.
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    An integration server that allows AI models to query Practera's GraphQL API for learning data, enabling LLMs to analyze and manipulate educational projects and assessments.
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    MIT License
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    A demonstration MCP server created for learning purposes, allowing Claude AI to interact with local files and a Postgres database while implementing a custom Model Context Protocol.
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    Advanced machine learning platform with MCP integration that enables automated ML workflows from data analysis to model deployment, featuring smart preprocessing, 15+ ML algorithms, and interactive visualizations.
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    A natural language interface for MLflow that allows users to query and manage their machine learning experiments and models using plain English through the Model Context Protocol.
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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine for intricate multi-step reasoning tasks with precision and efficiency.
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    Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, particularly useful for learning about topics from documentation.
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    A local server that enables interaction with Canvas Learning Management System API through Claude Desktop, allowing users to manage courses, access assignments, view announcements, and retrieve course materials.
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    MIT License
    • Apple
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    A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.
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    A server tool for running Deep Learning models that offers Shell execution, Ngrok connectivity, and Docker container hosting with support for multiple AI frameworks including Anthropic, Gemini, and OpenAI.
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    A Model Context Protocol server that enables AI assistants to access and manage email through IMAP, supporting browsing, searching, reading, and organizing emails while learning user preferences over time.
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    A hands-on demonstration project that teaches the Model Context Protocol (MCP) through Python code, allowing users to understand how AI models interact with their context through a provider-agent architecture.
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    This advanced memory server facilitates neural memory-based sequence learning and prediction, enhancing code generation and understanding through state maintenance and manifold optimization as inspired by Google Research's framework.
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    An advanced system monitoring solution that uses unsupervised machine learning algorithms to detect abnormal resource usage patterns in real-time, with features including anomaly detection, process analysis, and Discord integration.
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    A server that enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine to tackle complex reasoning tasks.
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    MIT License
    • Apple
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    A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
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    MIT License
    • Apple
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    A Model Context Protocol server that enables Language Learning Models to interact with FogBugz, allowing operations like creating and updating issues, assigning cases, listing open cases, and searching through natural language.
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    A Model Context Protocol server that enables language models to interact with Anki flashcard decks programmatically, with specialized features for Japanese language learning including vocabulary import, sample sentence generation, and spaced repetition review.
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    MIT License
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    IMCP - Insecure Model Context Protocol The DVWA for AI Security! Welcome to IMCP – a deliberately vulnerable framework that exposes 16 critical security weaknesses in AI/ML systems. Whether you're a security researcher, developer, or educator, IMCP is your playground for hands-on learning about real
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