Discover our curated collection of MCP servers for learning & documentation. Browse 2141 servers and find the perfect MCPs for your needs.
Supercharges Claude with documentation search capabilities by providing a powerful MCP server.
Augment AI responses with relevant context by retrieving and processing documentation through vector search.
Provides a simple notes system for Solana documentation context within the Model Context Protocol.
Explore and learn about Model Context Protocol (MCP) server implementations through a collection of experimental servers.
Provides a minimal server that pre-scrapes React learning documentation into DuckDB for hybrid search.
Provides a foundational example for integrating custom tools with the Gemini CLI using the Model Context Protocol (MCP).
Offers a comprehensive open-source collection of AI projects, Model Context Protocol (MCP) servers, and extensive learning resources.
Integrates Equinix APIs and documentation into a Model Context Protocol (MCP) server for local experimentation and learning.
Provides semantic search and Retrieval-Augmented Generation (RAG) capabilities for markdown documentation.
Orchestrates large language models through chained operations to build complex, multi-layered critical analyses of current affairs.
Leverages Retrieval-Augmented Generation (RAG) to provide a powerful question-answering system for documents and code, featuring Google AI integration and multiple API interfaces.
Provides a simple example for building an MCP server using FastMCP and Python, designed for use with Smithery.
Offers extensive tools, resources, and prompts by integrating Google Custom Search and Wikipedia functionality for advanced research and information retrieval.
Streamlines LaTeX manuscript compilation with robust command-line interface and MCP server capabilities.
Provides AI agents with searchable access to any markdown content through discoverable resources and an embedded full-text search engine.
Automates the generation, conduction, and evaluation of exams through an AI-powered assessment platform leveraging RAG and multi-LLM validation.
Integrates LimeLink dynamic link management with AI assistants via the Model Context Protocol, enabling link creation, lookup, and management.
Provides Retrieval Augmented Generation (RAG) capabilities for your markdown documentation.
Transforms plain-text Bible and Catechism references in Markdown into linked resources, including Bible Gateway URLs, Obsidian wiki-links, and Catholic Cross Reference links.
Provides a comprehensive MCP server for the Pipecat voice AI framework, enabling intelligent search and retrieval from documentation and GitHub issues via Claude Desktop or Cursor.
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