Discover our curated collection of MCP servers for learning & documentation. Browse 1664servers and find the perfect MCPs for your needs.
Extracts clean, focused documentation from websites for human readers and LLM consumption.
Provides a template repository for running a local language model with an included knowledge base.
Provides research and documentation for Model Context Protocol (MCP) servers and implementations.
Creates a massive, searchable knowledge base for AI assistants from curated and auto-discovered repositories.
Facilitates querying large sports-themed question answering datasets via the Model Context Protocol.
Streamlines software development projects by providing structured workflow tools across various complexity levels and phases.
Supplies Large Language Models with real-time, comprehensive Go package documentation directly from pkg.go.dev.
Enables Claude Desktop to create perfectly formatted RTF documents using Apple's native TextEdit APIs.
Provides intelligent querying and analysis capabilities for the Ballerina Language Server codebase.
Serves Opentrons documents for Machine Comprehension Protocol (MCP) clients.
Provides personalized programming context and insights, acting as an AI version of a programmer's knowledge.
Renders Markdown content or files into PDF documents via a Model Context Protocol (MCP) server.
Provides extensive knowledge about the Backstage framework for plugin development and customization.
Serves offline Qt 4.8.4 documentation, converting HTML to Markdown and providing full-text search to Agents, LLMs, and IDEs.
Empowers AI assistants with intelligent keyword search and comprehensive access to Islamic resources, including the Quran, Hadith, Tafsir, and audio recitations.
Enables AI to manage tasks and Pomodoro sessions through natural language interaction, boosting focus and productivity.
Enables large language models to search Lean Mathlib 4 documentation locally via a minimal server.
Provides AI-powered deep research and evidence synthesis for sexual health topics across multiple biomedical sources.
Indexes Bevy documentation, embeds it into a vector database, and enables similarity search for queries.
Manages and stores AI conversation records from various integrated development environments.
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