Discover our curated collection of MCP servers for learning & documentation. Browse 1664servers and find the perfect MCPs for your needs.
Provides Model Context Protocol (MCP) access to IQ.wiki data for use by AI assistants and other compatible clients.
Accelerates academic research by intelligently searching literature, extracting facts, and generating innovative research hypotheses using AI.
Automates common code development tasks through an AI-powered server.
Manage, organize, and search personal or professional notes in Markdown format through a Model Context Protocol (MCP) server.
Provides searchable access to LlamaIndex documentation for VS Code Copilot integration via a Model Context Protocol (MCP) server.
Provides a Model Context Protocol (MCP) server example that generates random US state and signature soup combinations.
Equips AI assistants with comprehensive resources for Vega-Lite and Deneb, including documentation, visualization examples, and specification validation.
Transforms documents into searchable knowledge bases with AI-powered semantic search.
Provides philosophical guidance and mentorship using rationalist thinking, Stoic philosophy, and smart contracts.
Provides semantic search capabilities over AWS Cloudscape Design System documentation for AI agents and coding assistants.
Illustrates the practical implementation of OAuth and Dynamic Client Registration (DCR) for a Remote Model Context Protocol (MCP) server.
Capture and retain knowledge through entries and spaced repetition flashcards, primarily interacting via conversational AI.
Empower Claude Code with persistent project memory and a suite of 32 MCP tools for structured knowledge, impact analysis, governance, and task management.
Demonstrates building interactive Model Context Protocol (MCP) tools with elicitation capabilities.
Enables Large Language Models to access, search, and read scientific papers directly from arXiv.
Generates professional software documentation using AI-powered LangGraph workflows and seamless integration with Cursor IDE.
Provides EigenLayer documentation to AI assistants via the Model Context Protocol (MCP).
Provides Unix command documentation directly within LLM conversations.
Empowers AI assistants like Claude with a comprehensive suite of tools for local development, task management, and document generation.
Accelerates LLM agent workflows by providing high-performance Go tools and native MCP servers for optimized file operations, search, and context management.
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