learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1279개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Extracts Java API information and documentation from Git repositories to power AI coding assistants.
Enables AI assistants to search Giant Swarm's public documentation, internal handbook, and intranet resources.
Integrates a Model Context Protocol (MCP) server with Microsoft Copilot Studio to deliver various types of jokes.
Programmatically retrieve cryptographic research papers from the IACR Cryptology ePrint Archive.
Demonstrates how to build Model Context Protocol (MCP) servers using the Python SDK.
Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.
Manages text notes through a Model Context Protocol server, offering resources, creation tools, and summarization prompts.
Automates project analysis and generates comprehensive development specifications, powered by AI integration.
Centralizes documentation, examples, and search tools to enhance development with InterSystems IRIS ObjectScript.
Demonstrates a simple MCP server built with FastMCP, emphasizing modern Python environment and package management.
Serves CRM API documentation PDFs as structured tools for programmatic access and search.
Indexes and semantically searches Markdown documents using vector embeddings and a self-contained vector database.
Integrates Perplexity AI's Sonar models into AI coding assistants like Claude Code, offering specialized tools for fact-checking and comprehensive research.
Calculates moon phases and illumination based on date and time, providing a clear example of an MCP server.
Creates a local database of indexed and optimized technical documentation, enabling AI agents to efficiently query and retrieve information from web sources and local files.
Automate comprehensive documentation generation for diverse software projects, analyzing structure, dependencies, and code metrics.
Provides access to Payman AI's documentation for AI assistants to aid developers with integration questions.
Serves markdown documents from a local directory, providing a simple interface for managing and accessing them using the Model Context Protocol (MCP).
Enables Claude's explicit reasoning mode within Cursor, displaying its step-by-step thought process.
Enables AI assistants to read and summarize local CSV and Parquet data files through natural language interfaces.
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