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。12991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。
Provides an HTTP interface for connecting to and querying MySQL databases via Server-Sent Events, ensuring read-only access.
Provides weather alert information for US states by leveraging the National Weather Service (NWS) API.
Enables Claude AI assistant to interact with and manage GitHub repositories.
Provides comprehensive Google Maps functionality, including places search, geocoding, and directions, through a Model Context Protocol (MCP) interface.
Demonstrates the creation and usage of MCP clients and servers using Python.
Orchestrates AI agent interactions with various services using Model Context Protocol (MCP) servers.
Develops a simple Model Context Protocol server for managing interactive data and functionalities.
Enables AI assistants to control Spotify playback and access user playlists through the Model Context Protocol (MCP).
Provides a boilerplate server for the Model Context Protocol, featuring TypeScript, DDD architecture, dynamic component loading, and example modules.
Facilitates access to methods and types exposed by SOAP WSDLs.
Integrates comprehensive VGC competitive Pokémon data, damage calculations, and teambuilding functionalities into LLMs.
Enhance Apple Notes with semantic search and full CRUD operations, integrating natural language management via MCP clients.
Provides a production-ready, extensible template for building Model Context Protocol (MCP) async servers in Python.
Provides an MCP server interface to the CTFtime API, allowing AI assistants to retrieve information on CTF events, teams, and rankings.
Integrates Brave Search into the Zed editor's AI assistant panel.
Wraps OpenAI's Codex CLI with Ollama backend support, enabling agentic coding tasks to be routed through local or remote models.
Provides a robust server for controlling and interacting with Android devices programmatically using uiautomator2.
Integrate AI agents and automation with CTFd instances for challenge management and flag submission.
Manages Azure DevOps work items through the Model Context Protocol (MCP) server.
Establishes a standardized communication framework for managing context with AI models.
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