Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 313 servers and find the perfect MCPs for your needs.
Codex Keeper
Provides AI assistants with curated access to latest development documentation and best practices.
Deep Research
Conducts in-depth, iterative research on any topic using AI-powered search, web scraping, and source evaluation to generate comprehensive reports.
Scholarly
Search for accurate academic articles from various scholarly sources.
Simple Arxiv
Enables LLMs to search and access scientific papers from arXiv.
Daipendency
Serves as a Model Context Protocol (MCP) server for Daipendency, enabling access to dependency documentation.
Obsidian
Enables large language models to interact with and manage Obsidian vaults through a secure and standardized Model Context Protocol interface.
Example
Demonstrates building a functional Model Context Protocol (MCP) server for integrating with LLM clients.
Guide
Facilitates learning the Model Context Protocol (MCP) through interactive examples and guided tutorials.
Package Docs
Provides LLMs with efficient access to package documentation across multiple programming languages.
McpDocServer
Serves development documentation via the MCP protocol, designed for various development frameworks.
Obsidian Rest
Exposes Obsidian vaults to AI assistants through a local REST API using the Model Context Protocol.
Agentdocs
Enables AI models to access and retrieve technical documentation from various agent frameworks.
Rijksmuseum
Enables AI models to explore, analyze, and interact with artworks and collections from the Rijksmuseum through natural language interactions.
Hugging Face
Enables Large Language Models to interact with and retrieve information from Hugging Face's models, datasets, and other resources.
MCPunk
Enables conversational exploration of codebases by providing an LLM with tools to intelligently search code.
Godoc
Serves Go documentation efficiently to LLMs via the Model Context Protocol, reducing token usage and improving project understanding.
Mcp-Rtfm
Transforms unreadable documentation into an intelligent, searchable knowledge base.
DeepSRT
Generates summaries of YouTube videos via the Model Context Protocol.
Content Summarizer
Provides intelligent summarization capabilities for various content types using Google's Gemini 1.5 Pro model.
Zotero
Exposes your Zotero library to AI assistants via the Model Context Protocol.
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