お気に入りのツールにAIを接続するためのMCPサーバーの完全なコレクションをご覧ください。
Control Phillips Hue lights through natural language commands using the Model Context Protocol.
Enables desktop notifications and status bar messages through integration with polybar and dunst.
Retrieves Wikipedia summaries for AI assistants using a FastAPI server.
Manages Azure DevOps work items through the Model Context Protocol (MCP) server.
Explore and learn about Model Context Protocol (MCP) server implementations through a collection of experimental servers.
Enables AI assistants and MCP clients to programmatically interact with Atlassian Confluence Data Center content.
Simulates financial trading scenarios using advanced agentic artificial intelligence.
Provides AI assistants access to a library of structured markdown instructions via the Model Context Protocol (MCP).
Provides a learning environment for understanding and implementing Model Context Protocol (MCP) servers.
Enables AI systems to access real-time web search capabilities.
Exposes Swagger/OpenAPI endpoints through the Model Context Protocol for AI agent accessibility.
Consolidates and serves multiple Model Context Protocol (MCP) servers through a single Stdio or HTTP interface.
Integrates Meetup.com's event discovery APIs with Anthropic's Claude LLM to enable intelligent event discovery and AI-powered recommendations.
Provides a production-ready, extensible template for building Model Context Protocol (MCP) async servers in Python.
Provides a command-line interface for accessing Model Context Protocol (MCP) servers.
Enhance Apple Notes with semantic search and full CRUD operations, integrating natural language management via MCP clients.
Demonstrates how to create and deploy a simple server adhering to the Model-Context-Protocol (MCP), providing a basic tool for AI clients.
Facilitates multi-agent conversation protocols using a server auto-generated from an OpenAPI specification.
Orchestrates AI agent interactions with various services using Model Context Protocol (MCP) servers.
Provides comprehensive Google Maps functionality, including places search, geocoding, and directions, through a Model Context Protocol (MCP) interface.
Provides programmatic browser control for AI assistants compatible with the Model Context Protocol.
Provides weather alert information for US states by leveraging the National Weather Service (NWS) API.
Provides a play project for exploring MCP Server tools.
Decodes QR codes from either a data URL or an HTTP(S) image URL.
Optimize retrieval-augmented generation systems through advanced LLM-powered methods, improving precision, reducing context size, and maintaining fast performance.
Fetches air pollution data using the OpenWeather API based on geographic coordinates or city and country.
Manages Model Context Protocol (MCP) servers by adding/removing them in predefined groups, integrating with tools like Claude and Cursor.
Generates and transforms recipes using advanced culinary AI based on natural language descriptions and specific requirements.
Enables AI assistants to interact with Figma through the Model Context Protocol (MCP).
Provides a foundational template for implementing queue component plugins within an abstract backend library.
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