Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 420 servers and find the perfect MCPs for your needs.
MaxKB
Creates AI chatbots with Retrieval-Augmented Generation (RAG) pipelines, robust workflows, and advanced tool-use capabilities.
Anthropic Cookbook
Provides code examples and guides for building applications with Claude, Anthropic's AI assistant.
Anthropic Quickstarts
Facilitates rapid development of deployable applications using the Anthropic API.
Context7
Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source.
Nostr Implementation Possibilities
Documents potential implementations for Nostr-compatible relay and client software.
Notes
Build a comprehensive personal knowledge base with this open-source note-taking application.
Git
Transforms any GitHub project into a documentation hub accessible to AI tools, preventing hallucinations by providing accurate and up-to-date context.
MCP Chinese Getting Started Guide
Provides a quick start guide for programming with the Model Context Protocol (MCP) in Chinese.
DevDocs
Crawls, extracts, and organizes technical documentation into an LLM-ready format, streamlining research and implementation for developers.
ArXiv
Enables AI assistants to search and analyze arXiv papers through a simple Model Context Protocol interface.
Obsidian
Enables interaction with an Obsidian vault via the Obsidian Local REST API plugin.
Obsidian Connector
Connects Claude Desktop to read and search your Obsidian vault's Markdown notes.
Basic Memory
Build a persistent semantic graph from conversations with AI assistants using standard Markdown files.
Context7
Fetches up-to-date documentation and code examples for libraries directly into LLM prompts.
Openapi
Enables AI tools like Claude and Cursor to understand and interact with OpenAPI specifications using simplified language.
Cline Docs
Offers documentation and best practices for effectively using and extending Cline's capabilities.
Spring AI Examples
Provides example applications demonstrating the use of the Spring AI project.
Deep Dive Into AI
Provides educational resources for learning AI, machine learning, and deep learning using PyTorch and Apple's MLX frameworks.
Quickstart Resources
Provides example servers and clients used in the Model Context Protocol tutorials.
Mcpdoc
Exposes LLM documentation defined in llms.txt files to IDEs for improved context retrieval and auditability.
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