Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 1033servers and find the perfect MCPs for your needs.
PyRag
Provides AI coding assistants with access to current, comprehensive Python library documentation, eliminating frustration from outdated examples and incorrect information.
Python Dependency Manager Companion
Provides current and accurate commands for Python package managers by cross-referencing the latest official documentation.
Librarian
Serves markdown files in a structured manner through an API, acting as a knowledge base for Large Language Models (LLMs).
Python Tutorial
Provides a tutorial app for Model Context Protocol (MCP) in Python, demonstrating core MCP concepts with a simple local database.
IDA Doc Hint
Provides IDA Pro documentation access via an MCP (Machine Code Processor) server to assist with plugin and script development.
MoEngage Documentation
Provides AI assistants with direct access to comprehensive MoEngage documentation for enhanced search and retrieval.
AI Book Agent
Empowers AI assistants with intelligent access to ML textbook content for creating accurate, source-grounded documentation.
Demo Local LLM
Demonstrates creating MCP clients and servers in Python and TypeScript, integrating with local LLMs.
GitMCP
Transforms any GitHub project into a documentation hub, enabling AI tools to access up-to-date documentation and code and eliminate code hallucinations.
LlamaIndex Docs
Provides searchable access to LlamaIndex documentation for VS Code Copilot integration via a Model Context Protocol (MCP) server.
Motiondesignlv
Serves markdown documents from a local directory, providing a simple interface for managing and accessing them using the Model Context Protocol (MCP).
Muni
Provides access to municipal building codes and compliance data, assisting with professional regulatory adherence.
Neurolorap
Analyzes code and generates documentation for projects.
Daydreamer
Creates persistent, personally-owned AI memory systems for continuous human-AI collaboration and compounding intelligence across platforms.
Specif-ai
Provides a Model Context Protocol (MCP) server for integrating Specif-ai with various clients and IDEs.
Date-fns
Connects date-fns documentation as an MCP server for various AI clients and development environments.
Rememberizer
Enables Large Language Models to search, retrieve, and manage documents and integrations through Rememberizer's API.
C# SDK Tutorial
Demonstrates Model Context Protocol (MCP) server implementation using the C# SDK, with additional examples for resources and prompts.
Payman AI
Provides access to Payman AI's documentation for AI assistants to aid developers with integration questions.
Remote Auth
Illustrates the practical implementation of OAuth and Dynamic Client Registration (DCR) for a Remote Model Context Protocol (MCP) server.
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