Learning & Documentation MCP Servers

Azure Java SDK Assist

Provides readme and code samples for the Azure Java SDK to AI assistants via the Model Context Protocol.

Mermaid Chart

Renders Mermaid diagrams into various image formats and integrates seamlessly with AI editors via the Model Context Protocol.

Pysearch

Provides a high-performance, context-aware search engine for Python codebases supporting text, regex, AST, and semantic search.

PDF Memo

Provides AI clients with safe and controlled access to PDF content, enabling extraction of annotations, highlights, and text.

Markdown

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

StatPearls

Fetches comprehensive, peer-reviewed medical information from StatPearls to provide reliable health data to AI systems.

Notes

Manage, organize, and search personal or professional notes in Markdown format through a Model Context Protocol (MCP) server.

DIY Helper

Offers real-time access to building codes, material specifications, and manufacturer guides to support DIY consultation.

Niivue

Provides Niivue documentation and API references to large language models with advanced search capabilities.

Doc Fetcher

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

CodeMunch Pro

Indexes code intelligently using AST extraction and tree-sitter, offering hybrid search, call graphs, and O(1) symbol retrieval across multiple languages.

Astrolabe

Establishes a transparent knowledge layer for unified search and navigation across all your project documentation using the Model Context Protocol (MCP).

Obsidian

Enables Large Language Models to read and perform limited write operations on an Obsidian vault via a stdio MCP server.

Nexla Doc

Enables AI agents to query PDF documents using natural language and receive grounded, source-attributed answers through retrieval-augmented generation.

Mtg-Oracle

Provides comprehensive data and intelligence on Magic: The Gathering cards, rules, and formats for AI assistants.

Local RAG

Enables semantic search across codebases and conversation histories, providing documentation gap analysis and contextual awareness for AI agents.

Knowledge Base

Integrates local codebases and documentation into a knowledge base server for Model Context Protocol (MCP) clients.

Trajan

Enables AI agents to interact with Trajan developer workspaces, allowing them to read documentation, create tasks, browse repositories, trigger doc generation, and sync to GitHub.

Legacy SQL Architect

Empower AI agents with deep understanding of legacy databases for schema inspection, code generation, and impact analysis.

Debug Recorder

Records debug sessions, terminal commands, and fix attempts to a local SQLite database for natural language querying of past debugging history.