learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1351개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates a specialized math server with LangChain, enabling advanced computational capabilities for AI applications.
Serves comprehensive data about Colombia, including departments, regions, and cities, via a Model Context Protocol server for educational and practical implementations.
Provides AI agents with real-time access to Wikipedia for research and information retrieval.
Demonstrates a simple MCP server built with FastMCP, emphasizing modern Python environment and package management.
Automates systematic document organization, converts PDFs to Markdown, and enforces a universal project documentation standard.
Delivers context-aware jokes from various categories for seamless integration with AI models and conversational agents via the Model Context Protocol.
Provides a robust backend for AI agents, delivering custom instruction files and executable scripts.
Demonstrates calculator operations via Server-Sent Events (SSE) and Standard Input/Output (STDIO) client-server communication modes.
Showcases a foundational Model Context Protocol server implementation with built-in tools and resources.
Provides AI assistants with programmatic access to the Consumer Rights Wiki, documenting modern consumer exploitation issues.
Calculates moon phases and illumination based on date and time, providing a clear example of an MCP server.
Enables Large Language Models to retrieve and reference Jewish texts from the Sefaria library through a standardized interface.
Provides an MCP server to access the Context7 API for comprehensive code documentation and development assistance.
Automates the documentation of GitHub projects as blog posts by serving a Model Context Protocol (MCP) endpoint.
Provides resources for learning how to build servers for connection to Large Language Models (LLMs) using Langchain.
Provides comprehensive offline access to Ellen G. White's writings through dual APIs (MCP and REST) and advanced PDF generation capabilities for research and educational purposes.
Provides a development practice repository for building MCP Servers using Node.js and TypeScript.
Enables AI assistants to read and summarize local CSV and Parquet data files through natural language interfaces.
Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.
Provides comprehensive and up-to-date MediaWiki markup syntax documentation by dynamically fetching and consolidating information from official MediaWiki help pages for consumption by large language models.
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