Learning & Documentation MCP Servers

Enhanced Documentation Search

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

Etabs Documentation Assistant

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

Zim

Enables AI models to access and search ZIM format knowledge bases offline.

Turbo Docs

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

Kibela

Enables LLMs to interact with Kibela content by providing an MCP server implementation for the Kibela API.

Mapas Mentais

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

Docs Fetch

Recursively fetches and extracts content from web pages for LLM consumption.

Learning Hour

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

Zen Syllabus

Provides a Model Context Protocol (MCP) implementation to access and utilize the ZEN University syllabus content.

Mcp-Demos

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

Uv Docs

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

Laravel Docs

Provides AI assistants with access to Laravel documentation and package recommendations via the Model Context Protocol (MCP).

Ai-Publications

Provides a curated collection of articles and guides on AI, Generative AI, and Machine Learning.

Coding Standards

Provides standardized coding guidelines and best practices for Java, Python, and React development.

ArxivSearcher

Intelligently searches Software Engineering papers on arXiv, offering advanced filtering, sorting, and management capabilities.

YiGmMk

Facilitates the learning and development of MCP servers using Python.

Lspace

Turns scattered AI conversations into persistent, searchable knowledge by capturing insights from any AI session and making them available across all your tools.

Document Processor

Extends AI assistants' knowledge by processing private documents and codebases into a searchable database.

Arxiv Search

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

OpenAI SDK Knowledge

Provides a streamable HTTP MCP server that deeply understands the OpenAI API, powered by RAG to answer technical questions.