Learning & Documentation MCP Servers
Discover our curated collection of MCP servers for learning & documentation. Browse 1416servers and find the perfect MCPs for your needs.
Quarkus Langchain4J Workshop
Learn to build AI-infused applications using Quarkus and LangChain4j through a guided workshop.
Raindrop.io
Enables LLMs to interact with and manage bookmarks stored in Raindrop.io using the Model Context Protocol.
Svelte5
Provides curated knowledge, code examples, and intelligent assistance for Svelte 5 frontend development.
BSL Context
Provides standardized access to the 1C:Enterprise platform API for AI assistants.
Guide
Facilitates learning the Model Context Protocol (MCP) through interactive examples and guided tutorials.
Rijksmuseum
Enables AI models to explore, analyze, and interact with artworks and collections from the Rijksmuseum through natural language interactions.
HexDocs
Provides semantic search capabilities for Hex package documentation within compatible code editors.
Flutter
Provides AI assistants with real-time, up-to-date Flutter and Dart documentation, including comprehensive pub.dev package information.
Perplexity
Enables AI-powered web research through Perplexity's interface without requiring an API key.
OpenAPI Schema Explorer
Provides token-efficient access to OpenAPI/Swagger specifications via MCP Resources for client-side exploration.
Shadcn-ui
Provides reference information for shadcn/ui components to AI assistants.
Obsidian Rest
Exposes Obsidian vaults to AI assistants through a local REST API using the Model Context Protocol.
Rember
Enables Claude to create flashcards for spaced repetition learning using the Model Context Protocol.
Deep Research
Conducts iterative, deep research using search engines, web scraping, and Gemini LLMs to create an AI Research Agent.
Daipendency
Serves as a Model Context Protocol (MCP) server for Daipendency, enabling access to dependency documentation.
OpenFOAM
Empowers intelligent CFD education and expert problem-solving using OpenFOAM with AI-driven Socratic questioning and error resolution.
Cratedocs
Enables LLMs to access Rust crate documentation for improved code understanding and generation.
Scrapling Fetch
Retrieves text and HTML content from bot-protected websites for AI assistant consumption.
Outline Connector
Enables AI assistants to interact with Outline documentation services through the Model Context Protocol (MCP).
Logseq Tools
Enables AI assistants to interact with and extract information from a Logseq knowledge graph.
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