Learning & Documentation MCP 服务器

Node.js Command-Line

Develops a custom MCP server and client for concept testing using Node.js, TypeScript, and Gemini AI.

JBang Examples

Demonstrates how to interact with Language Model (LLM) from MCP Servers using JBang, Quarkus, and Langchain4j.

Number Guessing Game

Demonstrates a Model Context Protocol (MCP) server showcasing dynamic tools and resources through a number guessing game.

Obsidian PDF Evidence

Integrates Obsidian's PDF and vault content with AI agents for evidence-based research and note-taking.

Jina Supabase RAG

Indexes documentation websites to Supabase for Retrieval-Augmented Generation using Jina AI and Crawl4AI.

Kali Tools

Provides comprehensive access to Kali Linux tool documentation directly within Claude Desktop.

Docret

Enables AI assistants to access up-to-date documentation for Python libraries.

Youtube Transcript

Retrieves transcripts from YouTube videos, providing direct access to captions and subtitles.

MemDocs

Provides AI assistants with persistent, git-native project memory through structured, machine-readable documentation.

Peacock

Answers questions about the Peacock VS Code extension by fetching and querying its official documentation.

Keyboard Shortcuts

Provides context-aware keyboard shortcuts for various operating systems, desktop environments, and applications through intelligent natural language queries.

Tidymodels

Provides tools and resources for working with the tidymodels ecosystem in R.

Doc Fetcher

Fetches and converts documentation from Dash docsets or any URL into clean, readable markdown.

Playwright Test Framework

Provides a Playwright test framework designed for testing AI and Model Context Protocol (MCP) interactions.

Qurio

Powers AI agents with a self-hosted RAG engine, ingesting local web documents and PDFs to provide grounded context via the Model Context Protocol (MCP).

Aion

Dynamically imports API specifications (OpenAPI, GraphQL, AsyncAPI), exposes them as tools for agents, and enhances functionality through self-learning and autonomous documentation.

SuperNova RAG

Enables semantic search over internal documentation using a local server with Retrieval-Augmented Generation (RAG).

Markdown

Provides a Model Context Protocol (MCP) server for robust Markdown document table of contents analysis and processing.

FOL Prover

Provides a Model Context Protocol server for first-order logic theorem proving, leveraging external provers like Vampire, E, and Prover9, alongside a built-in prover.

Material Web

Provides AI agents with programmatic access to Material Web documentation and component utilities.