learning & documentation向けの厳選されたMCPサーバーコレクションをご覧ください。2157個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Analyzes and evaluates documentation quality through advanced neural processing.
Provides examples for interacting with the GitHub API to manage repositories and collaborate on projects.
Provides a Model Context Protocol (MCP) server for processing local documents and answering questions based on their content.
Provides AI assistants with programmatic access to the Consumer Rights Wiki, documenting modern consumer exploitation issues.
Enhances AI-assisted Optimizely development by providing curated, contextual information to Large Language Models.
Enables searching and retrieving scientific articles from PubMed via the NCBI E-utilities API.
Enables AI assistants to read and summarize local CSV and Parquet data files through natural language interfaces.
Provides AI assistants with direct access to comprehensive MoEngage documentation for enhanced search and retrieval.
Integrates a Model Context Protocol (MCP) server with Microsoft Copilot Studio to deliver various types of jokes.
Provides a simple, experimental server for integrating tools with local AI chat agents.
Experiments with MCP server technology to explore its capabilities and behaviors.
Displays an interactive hyperbolic shader on Linux with real-time video textures, controllable via an LLM using the MCP protocol.
Scans local networks to discover devices, identify manufacturers, and flag potential security concerns.
Provides comprehensive knowledge and decision support for Coordinate Reference Systems (CRS), particularly focused on Japanese geodetic data.
Manages a research knowledge repository, enabling semantic search and precise citation of original sources for AI tools.
Offers production-ready Model Context Protocol (MCP) server examples built with FastMCP to address real-world business challenges.
Provides AI-ready documentation for the PayHere payment gateway, accessible as `llm.txt` or via an MCP server.
Provides large language models with authoritative access to a vast database of 3D printing filaments and curated material science knowledge.
Streamline academic research by integrating arXiv, Semantic Scholar, CrossRef, and Papago translation into a single pipeline for paper searching, citation analysis, BibTeX generation, and abstract translation.
Integrates BookStack knowledge bases with Claude.ai via the Model Context Protocol (MCP), providing direct AI access to content.
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