developer tools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。11006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。
Orchestrates multiple AI agents with flexible communication protocols for scalable AI applications.
Provides an interface to control Bond Bridge smart home devices for appliances like ceiling fans, fireplaces, shades, and lights.
Provides real-time US weather alerts and 5-day forecasts leveraging the National Weather Service API.
Establishes a Model Control Protocol server with integrated Google Gemini LLM capabilities for AI application development.
Integrates real-time weather data into large language models and Model Context Protocol clients.
Integrates GitLab merge request analysis with Confluence documentation via an MCP server.
Connects LLM applications to Milvus vector database functionality via the Model Context Protocol.
Integrates GitHub with Google Gemini API for intelligent code assistance and repository management.
Surfaces comprehensive diagnostic information about a connected client, including its capabilities, handshake details, and selected features.
Anchors agent tools, trust registries, and attestable executions on-chain, bringing the Model Context Protocol to Web3.
Facilitates practical learning and development for Model Context Protocol concepts, offering a structured path from basics to advanced topics.
Enables AI assistants to execute commands and manage remote Linux hosts via SSH, integrating securely with enterprise domain authentication.
Provides mathematical operation tools via an MCP server, built with HonoJS and optimized for Vercel deployment.
Manages Azure Cloud PCs using the Microsoft Graph API.
Kickstart development of an MCP server using Express with Server-Sent Events (SSE) in TypeScript.
Provides a production-ready starter template for building Model Context Protocol (MCP) servers with TypeScript.
Integrates the Brave Search API to provide comprehensive web and local search functionalities.
Perform local file searches using embeddings for semantic understanding.
Expose MGnify’s metagenomics API as tools and resources for AI clients using the Model Context Protocol.
Retrieves GitLab code commit records, generates formatted daily reports, and dispatches them to WeChat Work, offering seamless integration with AI assistants via MCP.
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