learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 2445개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Exposes Clever Cloud's documentation as a Model Context Protocol (MCP) server.
Provides developers with continuous, project-centric context awareness by learning from development patterns.
Generates detailed financial reports for various companies, serving as a practical demonstration for learning the Model Context Protocol (MCP).
Provides a demonstration of an MCP server implementation using the `http-mcp` package, exposing example tools and prompts.
Provides a specialized Model Context Protocol (MCP) server for efficient searching, reading, and analysis of discussions on the official GitLab community forum.
Enables the construction of remote MCP servers featuring robust authentication and authorization capabilities via OAuth2.1.
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.
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 simple client-server greeting tool utilizing standard input and output for communication.
Access and parse scientific papers from arXiv, supporting Model Context Protocol for AI integration.
Tracks student learning progress and schedules review sessions using a personalized knowledge graph with spaced repetition.
Integrates Canvas LMS data directly with AI clients for querying courses, assignments, grades, and more, ensuring user data privacy.
Provides AI-readable access to a verified database of South Korean legislation, including data protection, cybersecurity, and corporate law, through MCP-compatible clients.
Bridges the BayesInference package with AI assistants to provide direct access to Bayesian modeling tools and extensive documentation.
Provides Large Language Models with real-time, version-pinned documentation to prevent hallucinations and deprecation issues.
Provides LangGraph agent patterns, code snippets, and best practices for AI assistants.
Automates OpenPLC workflows, offering tools for ladder validation, runtime control, debugging, and comprehensive project documentation.
Provides AI-searchable guidance on German livestock welfare, feed, health, housing, movement rules, and breeding, integrating official standards like TierSchNutztV, HI-Tier, and QS.
Provides AI-powered answers to questions about GitHub repositories, leveraging their codebases and documentation.
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