Descubre nuestra colección curada de servidores MCP para developer tools. Explora 18038 servidores y encuentra los MCP perfectos para tus necesidades.
Installs and manages Model Context Protocol (MCP) servers for Claude and other LLM clients within Visual Studio Code.
Locates files by searching for path fragments on a server.
Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.
Indexes and serves Terraform/Tofu provider documentation from local Git repositories to enable accurate, context-aware code generation.
Calculates approximate hardware requirements for dedicated search nodes on MongoDB Atlas, supporting both lexical and vector search use cases.
Provides a foundational template for deploying Model Context Protocol (MCP) servers and integrating them with Microsoft Copilot Studio.
Enables AI assistants to solicit user confirmation and clarification through a standardized Model Context Protocol (MCP) elicitation process.
Integrates real-time weather data into large language models and Model Context Protocol clients.
Retrieves GitLab code commit records, generates formatted daily reports, and dispatches them to WeChat Work, offering seamless integration with AI assistants via MCP.
Generates MCP servers directly from Swagger/OpenAPI specifications, enabling seamless interaction with RESTful APIs.
Generates PlantUML code for UML Class and Sequence diagrams leveraging Google Gemini's AI capabilities.
Provides a minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers.
Enables Claude Desktop to interact with MySQL databases directly for natural language querying, analysis, and management.
Wraps a FastAPI application as an MCP server, enabling its endpoints to be called as tools directly via Gemini CLI.
Provides cognitive security for AI-assisted development by preventing dangerous commands and large AI code rewrites when a user is fatigued.
Multiplexes multiple AI agent tools through a single, lightweight server process, eliminating individual server overhead.
Integrates Large Language Models with the PokeAPI to enable AI agents to fetch live Pokémon data and build strategic teams.
Empowers AI agents to manage Trac project management instances by providing comprehensive tools for tickets, wiki pages, and milestones.
Empowers AI agents to outsource complex, human-required web interactions to real people for seamless task completion.
Provides structured UI/UX design inspiration to AI coding agents, powered by Mobbin via the TinyFish API with an intelligent fallback dataset.
Scroll for more results...