Discover our curated collection of MCP servers for learning & documentation. Browse 2173 servers and find the perfect MCPs for your needs.
Retrieves information from the AWS Knowledge Base using the Bedrock Agent Runtime, enabling Retrieval-Augmented Generation (RAG).
Provides a foundational example for integrating custom tools with the Gemini CLI using the Model Context Protocol (MCP).
Provides an intelligent search and retrieval system for Pybricks documentation and code examples.
Provides comprehensive access to Rust crate documentation and metadata from crates.io and docs.rs.
Connects AI agents to remote Git repositories to fetch and search markdown documentation and notes.
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.
Provides a simple example for building an MCP server using FastMCP and Python, designed for use with Smithery.
Serves Python coding best practices and guidelines via a Model Context Protocol (MCP) server for general development and FastAPI APIs.
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.
Enhances AI coding tools with versioned PostgreSQL knowledge and best practices for improved code generation.
Automates the generation, conduction, and evaluation of exams through an AI-powered assessment platform leveraging RAG and multi-LLM validation.
Fetches real-time weather information for any location worldwide using the wttr.in API and integrates with MCP clients like Claude.
Integrates LimeLink dynamic link management with AI assistants via the Model Context Protocol, enabling link creation, lookup, and management.
Accesses 13 academic sources in parallel to search, download, and generate bibliographies for research papers.
Provides Retrieval Augmented Generation (RAG) capabilities for your markdown documentation.
Provides a server with universal, language-agnostic development rules for AI coding agents to follow.
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.
Provides AI agents with comprehensive programmatic access to Google Classroom, enabling automation of educational workflows.
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