Learning & Documentation MCP 서버

Barnsworthburning

Searches the barnsworthburning.net website via the Model Context Protocol.

Docs

Search and fetch up-to-date documentation for popular libraries like Langchain and OpenAI.

Rag Pipeline Research

Explores Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.

Louvre

Enables interaction with the Louvre museum's digital collection via a Model Context Protocol (MCP) server.

Server Starter

Quickly sets up a Model Context Protocol (MCP) server with documentation tools and extensible architecture.

UseKeen

Streams up-to-date package documentation to AI coding assistants.

Doxygen

Automates documentation generation from source code comments, parsing classes, functions, and variables to produce output in formats like HTML and PDF.

API Tools

Showcases MCP server API capabilities through a demonstration.

Sacred Scriptures

Provides AI assistants with access to sacred scriptures from major world religions via a Model Context Protocol server.

AVS Docs

Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.

Obsidian

Facilitates semantic and temporal search across your Obsidian vaults using a Claude MCP server.

AOC Utilities

Provides handy utilities for Advent of Code, such as fetching puzzle input, exposed via an MCP server.

Cangjie Project

Provides project-specific context and development templates to AI models within IDEs like Cursor.

Agentic Travel Planner

Orchestrates comprehensive travel planning by leveraging an agentic workflow, integrating multi-LLM support and essential travel tools through the Model Context Protocol.

Documan

Generates and serves a web documentation site directly from your project's Markdown files, enabling quick setup and AI tool integration.

RFCXML

Facilitates structured understanding of RFC documents by leveraging their semantic XML structure.

NotebookLM

Integrates Google NotebookLM with AI assistants, providing direct access to notebooks and their content for intelligent querying.

Oak Open Curriculum Ecosystem

Provides tools, SDKs, and Model Context Protocol (MCP) servers for accessing, searching, and building AI applications on the Oak National Academy Open Curriculum data.

LaunchFrame

Provides AI agents with on-demand architectural knowledge about LaunchFrame projects, covering authentication patterns, entity conventions, and queue usage.

Kimi Memory

Empowers large language models with persistent memory capabilities, enabling them to learn, store, and intelligently retrieve information from various sources.