Discover our curated collection of MCP servers for learning & documentation. Browse 2378 servers and find the perfect MCPs for your needs.
Enables large language models to interact with and manage Obsidian vaults through a secure and standardized Model Context Protocol interface.
Retrieves transcripts for YouTube videos given a URL and desired language.
Retrieves transcripts directly from YouTube videos using a simple interface.
Offers documentation and best practices for effectively using and extending Cline's capabilities.
Fetches up-to-date documentation and code examples for libraries directly into LLM prompts.
Enables natural language interaction with eBooks in EPUB and PDF formats through a Model Context Protocol (MCP) server.
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.
Bridges WeChat Read data with AI clients like Claude Desktop, enabling seamless access to notes and reading data.
Converts code into Markdown format for use with Large Language Models (LLMs) through a simple terminal command.
Automatically annotates papers using Large Language Models (LLMs) to provide contextual information while reading.
Provides AI assistants with comprehensive access to Roblox Studio projects for analysis, debugging, and understanding game architecture.
Provides real-time bus information for Galway, Ireland, built with Kotlin Multiplatform for Android, iOS, and macOS.
Provides up-to-date documentation for thousands of libraries directly within your AI code editor via the Model Context Protocol.
Provides seamless access to Apple Developer Documentation directly within AI coding assistants, featuring smart search and wildcard support.
Facilitates spec-driven development workflows by providing structured prompts for generating requirements, design documents, and code.
Provides a multilingual, database-driven, open-source FAQ web application supporting PHP 8.3+ and various databases.
Generates detailed diagrams to visualize complex codebases and system architectures using AI.
Provides AI agents with up-to-date, curated technical documentation to prevent hallucinations and improve coding accuracy.
Transforms AI agents into structured, science-backed learning companions for lifelong human skill development.
Transforms various source documents into a self-compounding, LLM-maintained knowledge base, enabling intelligent information synthesis and retrieval.
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