Discover our curated collection of MCP servers for learning & documentation. Browse 1664servers and find the perfect MCPs for your needs.
Provides AI-powered deep research and evidence synthesis for sexual health topics across multiple biomedical sources.
Provides Go package information via the Multi-Command Protocol (MCP).
Integrates with Runbook to enable listing, reading, and searching of documents.
Generates and serves documentation for Cute Framework projects by indexing header files and extracting comments.
Integrates AI assistants with Anki flashcards, facilitating intelligent learning and flashcard management.
Facilitates querying large sports-themed question answering datasets via the Model Context Protocol.
Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
Searches the barnsworthburning.net website via the Model Context Protocol.
Provides detailed Pokémon information, including stats, abilities, moves, and evolution chains, by integrating with the PokeAPI.
Facilitates interaction with the acomo API, providing functionalities for API listing, schema reference, request template generation, and direct API calls.
Provides a template repository for running a local language model with an included knowledge base.
Enables AI models to interact with the Art Institute of Chicago Collection through natural language, making artworks available as a Resource.
Provides handy utilities for Advent of Code, such as fetching puzzle input, exposed via an MCP server.
Manages various types of sources and integrates them with knowledge graphs for enhanced research and learning.
Aids programmers in learning and understanding code through a Model Context Protocol server.
Provides advanced Quran search capabilities including Arabic normalization, lemma/root options, pagination, and highlighted matches through an MCP stdio server.
Orchestrates intelligent, multi-source research for AI assistants using consensus-driven planning and fact-checking.
Enables AI assistants to extract detailed documentation from Mendix Studio Pro modules using the Model Context Protocol.
Provides AI-driven responses by parsing Rtbrick's open documentation on its website.
Accelerates LLM agent workflows by providing high-performance Go tools and native MCP servers for optimized file operations, search, and context management.
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