Learning & Documentation MCP 服务器

Obsidian

Enables AI agents and external applications to easily explore and manage documents within local Obsidian vaults through a powerful tool API.

Word of the Day

Provides comprehensive word definitions and random vocabulary for daily learning using the Free Dictionary API.

LLMs TXT

Provides a lean server for fast, surgical access to `llms.txt` documentation, optimizing retrieval for large language models.

Local Wikipedia

Enables offline search and retrieval of Wikipedia articles after a one-time data download.

arXiv GPT

Interact with the arXiv API using natural language to retrieve, search, and manage scholarly articles.

OneNote

Enables AI language models to securely interact with Microsoft OneNote data for comprehensive reading, writing, and editing.

Bevy Docs Search

Indexes Bevy documentation, embeds it into a vector database, and enables similarity search for queries.

Poke

Provides detailed Pokémon information, including stats, abilities, moves, and evolution chains, by integrating with the PokeAPI.

Spec-Driven

Provides structured project specification management capabilities for AI editors through a specification-driven development workflow.

Clix

Facilitates seamless Clix SDK/API integrations by providing semantic search capabilities across Clix documentation and SDK source code.

Recall Kit

Empowers AI development by enabling agents to learn from past experiences, reducing repetitive trial-and-error and optimizing token usage.

Qt4 Documentation

Serves offline Qt 4.8.4 documentation, converting HTML to Markdown and providing full-text search to Agents, LLMs, and IDEs.

Instapaper

Integrates Instapaper with MCP clients, enabling comprehensive management and analysis of your saved articles.

File Scanner

Analyzes source code structure across multiple languages, extracting classes, functions, methods, and metadata with precise line numbers.

RAG

Processes diverse document formats to provide AI-powered semantic search and compliance checking through a Model Context Protocol server.

Next.js React Tailwind Assistant

Provides comprehensive documentation, UI components, and design patterns for building modern Next.js applications with React and Tailwind CSS.

Canvas

Provides comprehensive access to Canvas LMS functionality for AI assistants via the Model Context Protocol.

Pytorch Docs Refactored

Provides a command-line interface for semantic search within PyTorch documentation, leveraging embeddings and a vector database.

Swagger Navigator

Provides intelligent discovery and search capabilities for Swagger/OpenAPI endpoints, enabling AI assistants to dynamically explore and interact with REST APIs.

Hacktricks

Access the comprehensive HackTricks knowledge base to retrieve hacking techniques, explanations, and advice via MCP-compatible LLMs.