Learning & Documentation MCP 服务器

Enhanced Documentation Search

Provides AI models with real-time access to technical documentation, library popularity data, and career insights to inform software development decisions.

Rfc

Fetches, parses, and provides programmatic access to RFC documents from the IETF website.

Turbo Docs

Provides access to up-to-date documentation for Turbo.js within compatible Model Context Protocol (MCP) clients.

Deep Research

Enables Claude and other MCP-compatible AI assistants to perform comprehensive research by integrating web and academic search functionalities.

Mapas Mentais

Generates automated mind maps to facilitate studying, reviewing, comparing, and presenting various topics.

Etabs Documentation Assistant

Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.

Cursor Buddy

Empower AI agents with deep, real-time context about your project, including coding standards, knowledge base, todos, and database schema.

Eclass

Enables AI agents to interact with the Open eClass platform for course information and basic operations.

Bear Notes

Connects the Bear note-taking app to AI assistants, enabling semantic search and retrieval of notes.

Nia Codebase

Integrates Nia's codebase understanding capabilities with MCP-compatible clients through function calling.

DocMCP

Indexes technical documentation on a local vector database and integrates with AI IDEs for semantic search.

Learning Hour

Generates comprehensive Learning Hour content and interactive whiteboard sessions for technical coaches to foster team technical excellence.

RagChatbot

Builds a RAG-based HR chatbot that provides workplace rules using a localhost MCP server.

Uv Docs

Provides programmatic access to UV package manager documentation through a Model Context Protocol (MCP) server.

Raindrop

Enables interaction with Raindrop.io bookmarks through simple, human language from within Claude Desktop.

Mcp-Demos

Provides example code for understanding and implementing the Model Context Protocol (MCP).

YiGmMk

Facilitates the learning and development of MCP servers using Python.

Arxiv Search

Searches and retrieves academic papers from arXiv using the Model Context Protocol.

Obsidian Integration

Enables AI assistants to interact with an Obsidian vault via the Model Context Protocol.

Awesome MCP Servers

Provides a curated list of resources related to Model Context Protocol (MCP) servers.