Discover our curated collection of MCP servers for learning & documentation. Browse 1661servers and find the perfect MCPs for your needs.
Provides AI agents with tools to search and retrieve information from the official Godot documentation.
Enables AI agents to interact with Canvas LMS for querying courses and resources.
Manages project documentation and context across sessions, enabling AI models to maintain consistent project knowledge.
Connects a Readwise Reader library to Large Language Models via the Model Context Protocol.
Enhance literature reviews by enabling LLMs to access and interact with academic papers.
Generates comprehensive capability reports for Model Context Protocol servers.
Provides example code for understanding and implementing the Model Context Protocol (MCP).
Enables integration between Obsidian vaults and Model Context Protocol (MCP) servers.
Enables AI assistants to retrieve Haskell documentation from Hackage for improved Haskell programming assistance.
Enables searching YouTube videos, retrieving transcripts, and performing semantic search over video content.
Provides unified Apple Human Interface Guidelines and technical documentation for all Apple platforms via the Model Context Protocol.
Provides an agent-first note-taking system designed from the ground up for AI collaboration and structured knowledge management.
Integrates Google NotebookLM with Claude, providing programmatic access to create notebooks, manage sources, and generate diverse AI-powered content.
Empower AI agents with deep, real-time context about your project, including coding standards, knowledge base, todos, and database schema.
Provides up-to-date documentation for npm packages directly in your IDE by fetching the latest README from either GitHub or the bundled package.
Empowers AI assistants to leverage local Go module cache for understanding GoLang third-party packages without API limits or costs.
Establishes a personal memory layer for AI assistants, enabling semantic search, philosophical reflection, and knowledge management.
Accesses protein function and sequence information directly from UniProt.
Provides an MCP server to manage, build, check, and search Rust documentation locally.
Connects the Bear note-taking app to AI assistants, enabling semantic search and retrieval of notes.
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