Learning & Documentation MCP Servers

DVMCP

Provides a deliberately vulnerable Model Context Protocol (MCP) server for security research and AI/ML security learning.

ArXiv

Enables AI assistants to search and access arXiv papers through a simple Message Control Protocol (MCP) interface.

Open Docs

Indexes and provides access to documentation from various sources via an MCP server.

Kibela

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

Mathematica Documentation

Enables checking Mathematica code via a local Mathematica installation.

Poke

Provides Pokémon information through a Model Context Protocol (MCP) interface.

Docy

Provides LLMs with access to documentation websites by scraping them with crawl4ai, enabling real-time documentation access for AI tools.

My Tools

Provides an integrated server and UI panel within VS Code/Cursor for retrieving and displaying command-line tool documentation.

N8n Assistant

Creates an assistant integrated with n8n that searches documentation, example workflows, and community forums.

Anki

Enables programmatic interaction with Anki flashcards, decks, and review processes.

SourceSage

Caches a codebase as a graph to provide LLMs with efficient code memory.

Coding Standards

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

Docs Fetch

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

Star Wars

Interacts with the SWAPI Star Wars API to provide data on characters, planets, films, species, vehicles, and starships.

Zen Syllabus

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

DBLP Access

Provides access to the DBLP computer science bibliography database for Large Language Models.

Docs Provider

Provides documentation context to Large Language Models (LLMs) via the MCP protocol, allowing them to answer queries based on local markdown documentation.

UniProt

Accesses protein function and sequence information directly from UniProt.

Ant Design Components

Enables Large Language Models to interact with and understand Ant Design component documentation.

Document Processor

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