Discover our curated collection of MCP servers for learning & documentation. Browse 1561servers and find the perfect MCPs for your needs.
Facilitates building and exploring multi-agent AI workflows with ready-to-use projects for various applications.
Provides a minimal demonstration of the Model Context Protocol (MCP) using the fastmcp framework.
Simulate code reviews from expert personas using AI and a knowledge graph.
Integrates Vim and Claude Code, enabling AI-driven control and querying of Vim instances through a Model Context Protocol server.
Conducts in-depth research on complex topics using iterative search and structured analysis.
Provides AI-powered natural language queries to navigate technical conference data, including sessions, speakers, and schedules, specifically designed for ServerSide.swift 2025.
Converts Markdown content into professional PowerPoint presentations.
Delivers access to the HUMMBL Base120 mental models framework through a Model Context Protocol server.
Provides secure access to N Lobby school portal data through a Model Context Protocol (MCP) server.
Consolidates academic research from PubMed, Google Scholar, ArXiv, and JSTOR through five powerful tools for efficient discovery and analysis.
Brings GitHub repositories into context for large language models via an API.
Provides an interactive SQL learning environment by connecting Claude with PostgreSQL for dynamic data generation and query execution.
Provides transcripts from a YouTube playlist through an experimental MCP server.
Provides AI assistants with tools to load, parse, and query OpenAPI and Swagger API documentation.
Exposes Go project insights and static analysis to large language models for enhanced understanding and code generation.
Provides personalized Korean Beauty information, skin analysis, and product recommendations through real-time web search and curated knowledge.
Indexes and enables natural language querying of your Obsidian notes through a Retrieval-Augmented Generation (RAG) server.
Retrieves relevant sections from PDF documents for use within Zed's AI Assistant.
Enhances Claude's web search capabilities using Perplexity's API, offering intelligent model selection, domain filtering, and recency control.
Illustrates fundamental multi-agent system concepts, hierarchical agent architectures, and AI agent tool execution using the Google Agent Development Kit (ADK).
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