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。
Integrates Trello boards with the Model Context Protocol, enabling interaction with cards, lists, and board activities.
Interacts with the GitHub API to fetch user details, repository information, and authenticated user data.
Provides a GraphQL API for querying and manipulating Mission Control Platform (MCP) data.
Generates images from text prompts using the SiliconFlow API.
Facilitates conversational interactions powered by language models and the Groq API.
Provides weather forecasts for Japan using the 天気予報 API (livedoor 天気互換).
Implements a Model-Context-Protocol server in Rust.
Facilitates deployment and integration of AI Model Context Protocol servers with Microsoft Copilot Studio to enhance AI model capabilities with external data sources.
Provides a comprehensive set of tools for accessing, searching, and managing personal and team internal knowledge repositories.
Empowers developers to query and mutate PostgreSQL data via simple YAML configurations, serving it over MCP transports like HTTP or STDIO.
Construct a local client for the Model Context Protocol (MCP) using LlamaIndex to interact with local servers.
Provides comprehensive access to Tigo Energy solar system data and analytics for AI assistants.
Enables voice control and management of Spotify playback through Claude Desktop or other MCP-enabled clients on Windows.
Automates the process of generating essays using an AI-driven planning and execution agent.
Provides multimodal AI image, text, audio, and vision generation capabilities through standard REST endpoints.
Extends Loilonote functionality by providing a custom server and browser extension.
Delivers real-time Beijing timezone information and formatted time data through a Model Context Protocol server.
Provides a TypeScript template for building remote Model Context Protocol (MCP) servers with modern tooling and best practices.
Automatically analyzes and dispatches diverse tasks, including development and article writing, to appropriate handlers for efficient processing.
Integrates n8n workflow automation with AI agents by exposing an MCP server for managing and executing workflows.
Demonstrates object-relational mapping for JSON objects within a RESTful Gilhari microservice, showcasing one-to-one and one-to-many BYVALUE relationships and advanced query capabilities.
Enables AI models to seamlessly interact with MySQL databases by providing a standardized interface for various operations.
Exposes Chess.com player profiles and statistics through a Model Context Protocol (MCP) server.
Empowers large language models with browser automation capabilities to explore web pages, inspect network traffic, and generate robust web-scraping scripts.
Automates the integration of backend API JSON with frontend UI components by generating Zod schemas and rendering live previews.
Exposes a wide array of modern command-line tools as a structured JSON-RPC server for AI and LLM agents.
Enables AI agents to understand and interact with the Optics Design System's tokens, components, and documentation.
Empower AI assistants to manage n8n workflows, offering comprehensive control over automation tasks.
Enables AI agents to interact seamlessly with the Instamolt social network by defining their capabilities, authentication, and behavior.
Enables AI assistants to manage temporary email addresses through the mail.tm API.
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