Discover our curated collection of MCP servers for learning & documentation. Browse 1661servers and find the perfect MCPs for your needs.
Enables AI to manage tasks and Pomodoro sessions through natural language interaction, boosting focus and productivity.
Provides AI assistants with a unified interface to access multiple academic databases for search, metadata retrieval, and comprehensive research analysis.
Enables AI models to interact with the Art Institute of Chicago Collection through natural language, making artworks available as a Resource.
Provides a starting point for creating Message Passing Concurrency (MCP) servers.
Automates documentation generation from source code comments, parsing classes, functions, and variables to produce output in formats like HTML and PDF.
Instantly searches for curated code, snippets, and indie developer articles to provide targeted insights.
Guides web accessibility learners to relevant W3C resources, focusing on official documentation rather than AI-generated explanations.
Showcases MCP server API capabilities through a demonstration.
Enables large language models to intelligently read, process, and navigate long-form documents.
Enables access and searching of Lark (Feishu) documents via a Model Context Protocol server.
Provides search access to Prisma Cloud documentation and API references for MCP-compatible clients.
Provides detailed Pokémon information, including stats, abilities, moves, and evolution chains, by integrating with the PokeAPI.
Aggregates real-world solutions and workarounds from diverse developer communities to provide practical answers that bypass generic AI training data.
Provides a unified interface for accessing up-to-date documentation of popular libraries.
Provides a local Retrieval-Augmented Generation (RAG) server written in Go for semantic search and knowledge recall.
Provides AI agents with access to development best practices, security guidelines, and coding standards.
Automate the management of Apifox API documentation using AI assistants.
Quickly sets up a Model Context Protocol (MCP) server with documentation tools and extensible architecture.
Manages and retrieves OpenAPI documentation for inspecting and interacting with APIs.
Streams up-to-date package documentation to AI coding assistants.
Scroll for more results...