developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 18311개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI interaction and programmatic Minecraft building within a Dockerized Minecraft server environment.
Control and interact with Sonos devices on your network.
Provides QQ Music search functionality via the Modular Control Protocol (MCP).
Generates Model Context Protocol (MCP) programs from OpenAPI Specification (OAS) files.
Enables AI assistants to interact with the TickTick/Dida365 task management service for comprehensive task and project management.
Automates git commits on behalf of AI, enabling tracking of AI contributions in a codebase.
Integrates Alibaba Cloud Function Compute capabilities into agent applications supporting MCP Client.
Provides AI-IDEs with real-time access to PostgreSQL and Supabase database schemas through the Model Context Protocol.
Enables AI agents and scientific tools to interact with PubChem's vast chemical information database via the Model Context Protocol.
Integrates with the HackerNews API to enable AI assistants to access, analyze, and understand HackerNews content via standardized Model Context Protocol (MCP) interfaces.
Integrates Google Gemini CLI with Claude Code for AI-powered development assistance via a Model Context Protocol server.
Provides an MCP server interface, enabling large language models to interact with Hydrolix clusters for executing SQL queries and introspecting database schemas.
Provides comprehensive financial market data from multiple global stock exchanges through a standardized Model Context Protocol (MCP) interface.
Manage marketing automation and CRM operations within FluentCRM directly from Cursor using natural language commands.
Provides a local SageMath service based on the Model Context Protocol (MCP) for executing mathematical scripts and querying version information.
Enables large language models to interact with the SD Elements security development lifecycle platform.
Exposes Flowbite-Svelte documentation and component information to large language models via Model Context Protocol (MCP).
Provides high-performance web search and page fetching capabilities for AI assistants using DuckDuckGo.
Automates the process of generating and shipping tested pull requests from GitHub issues using a transparent, trust-scored multi-agent pipeline.
Empowers AI agents to seamlessly parse complex codebases, execute secure cross-project operations, and dynamically fetch token-optimized rules through a powerful Model Context Protocol (MCP) server and Omni-AST engine.
Scroll for more results...