Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 1078servers and find the perfect MCPs for your needs.
AI Prompts
Collects and shares AI prompts, best practices, and curated rules to enhance developer workflows within AI-assisted coding tools.
Quickstart Resources
Provides example servers and clients used in the Model Context Protocol tutorials.
Sequential Thinking
Facilitates structured, progressive thinking by breaking down complex problems into sequential stages.
Mcpdoc
Exposes LLM documentation defined in llms.txt files to IDEs for improved context retrieval and auditability.
Context7
Fetches up-to-date documentation and code examples for libraries directly into LLM prompts.
PhpMyFAQ
Provides a multilingual, database-driven, open-source FAQ web application supporting PHP 8.3+ and various databases.
Docs
Indexes and searches third-party library documentation using semantic splitting and vector embeddings.
GalwayBus
Provides real-time bus information for Galway, Ireland, built with Kotlin Multiplatform for Android, iOS, and macOS.
Cline Docs
Offers documentation and best practices for effectively using and extending Cline's capabilities.
Ref Tools
Provides AI coding tools and agents with access to documentation for APIs, services, and libraries.
Awesome Security
A curated list of resources focused on the security aspects of the Model Context Protocol (MCP).
Zotero
Connects a Zotero research library with AI assistants to facilitate searching and discussing research papers.
Deep Dive Into AI
Provides educational resources for learning AI, machine learning, and deep learning using PyTorch and Apple's MLX frameworks.
WeRead
Bridges WeChat Read data with AI clients like Claude Desktop, enabling seamless access to notes and reading data.
Octocode
Leverages AI to provide advanced code search and discovery across GitHub and NPM, understanding connections between repositories and packages.
AnnotateAI
Automatically annotates papers using Large Language Models (LLMs) to provide contextual information while reading.
Codefetch
Converts code into Markdown format for use with Large Language Models (LLMs) through a simple terminal command.
Apple Doc
Provides seamless access to Apple Developer Documentation directly within AI coding assistants, featuring smart search and wildcard support.
PaellaDOC
Provides an AI-first development framework that uses the Model Context Protocol (MCP) to enable Large Language Models (LLMs) to interact with development tools and context.
Spec-Driven Development
Facilitates spec-driven development workflows by providing structured prompts for generating requirements, design documents, and code.
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