learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1806개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Fetches Python documentation using the Brave Search API.
Provides structured, AI-friendly access to eRegulations API data for querying administrative procedures.
Previews Mermaid diagrams while providing syntax error handling and GitHub repository visualization.
Documents the setup and configuration process for a GitHub Model Context Protocol (MCP) server.
Demonstrates and tests various mechanisms of the Model Context Protocol (MCP) using its TypeScript SDK.
Provides an environment for exploring the Model Context Protocol.
Integrate Schoology course and assignment data with large language models.
Delivers a self-evolving AI intelligent service hub specifically designed for university campuses, integrating RAGFlow, LLM, and MCP tool calling.
Serves and queries documentation with AI capabilities, enabling intelligent Q&A and search across various content.
Delivers Stoic philosophy quotes with AI-powered explanations via the Model Context Protocol, demonstrating CRUD operations and cloud migration strategies.
Delivers structured CPR training content, including lessons, videos, and reflective questions, via a JSON-RPC over HTTP server for AI assistants and applications.
Access real-time information about U.S. National Parks, including park details, alerts, activities, and facilities via the National Park Service API.
Orchestrates large language models through chained operations to build complex, multi-layered critical analyses of current affairs.
Demonstrates a Model Context Protocol (MCP) server featuring example tools, resources, and prompts for Large Language Model (LLM) integration.
Demonstrates the Model Context Protocol (MCP) through a TypeScript server implementation.
Enables ChatGPT Desktop to store, search, and manage conversation history and documents locally.
Answers frequently asked questions about LPDP scholarship disbursement by leveraging Retrieval Augmented Generation.
Offers extensive tools, resources, and prompts by integrating Google Custom Search and Wikipedia functionality for advanced research and information retrieval.
Gives AI coding assistants instant access to your private documents—API specs, research papers, internal docs—without ever sending data to the cloud.
Enables search, navigation, and content extraction from markdown files for AI tools and development workflows.
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