Discover our curated collection of MCP servers for learning & documentation. Browse 2141 servers and find the perfect MCPs for your needs.
Conducts in-depth research on complex topics using iterative search and structured analysis.
Provides efficient search and referencing capabilities for user-configured documentation.
Enables AI assistants to perform full-text searches and retrieve content from Obsidian vaults using the Model Context Protocol.
Automates key aspects of software development, from meeting transcription and AI analysis to comprehensive documentation generation and mobile testing.
Provides production-ready WebAssembly plugin examples for the Noorle platform, showcasing HTTP APIs, WASI 2.0, and the Component Model across Rust, Go, Python, JavaScript, and TypeScript.
Provides a search engine for Micronaut documentation and guides, accessible via a web application and an MCP Server.
Provides AI-powered natural language queries to navigate technical conference data, including sessions, speakers, and schedules, specifically designed for ServerSide.swift 2025.
Enables AI assistants to scan webpages and local files for broken links through a Model Context Protocol (MCP) server.
Integrates Excalidraw diagrams with Model Context Protocol-compatible AI assistants and development environments.
Empower AI with persistent memory and human-like thinking capabilities through a comprehensive management system.
Provides a server for Claude Code to efficiently query all Cangjie programming language documentation directly within the IDE.
Guides large language models in applying modern design principles and best practices for web page generation.
Access and retrieve comprehensive accessibility criteria for web and native components from MagentaA11y.
Enables AI assistants to securely connect and interact with your e-books on KOReader, providing real-time access to content and functionality.
Provides a local Retrieval-Augmented Generation (RAG) server written in Go for semantic search and knowledge recall.
Connects large language models directly to the Rust ecosystem for real-time documentation, concept explanations, and error resolution.
Access and manage Purdue Brightspace course information, including grades, due dates, announcements, and rosters, using natural language queries via AI clients.
Enables AI agents to automatically discover, install, and learn to use new tools without manual configuration or restarts.
Parses UiPath Process and Library projects into JSON call graphs, arguments, and diagrams for documentation, validation, and CI impact analysis.
Provides AI assistants with structured scholarly Bible data for semantic search, original-language word studies, translation comparison, cross-reference traversal, and topical research.
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