Descubre nuestra colección curada de servidores MCP para developer tools. Explora 12982 servidores y encuentra los MCP perfectos para tus necesidades.
Empower Delphi applications with advanced AI capabilities, including Retrieval-Augmented Generation (RAG), autonomous agents, and a universal LLM connector.
Improves AI coding by providing better context.
Enables interaction with Shopify store data via GraphQL API for managing products, customers, and orders.
Connects MCP-compatible clients to diverse databases like MySQL, PostgreSQL, Oracle, and SQL Server, offering advanced features beyond basic connectivity.
Enables efficient handling of filesystem operations through a fast and asynchronous MCP server.
Exposes a UniFi Network Controller as a set of programmable tools accessible via the Model Context Protocol (MCP).
Enables AI agents to store, retrieve, and semantically search through memories using vector embeddings.
Integrates MATLAB functionality directly into AI applications, enabling AI agents to control, execute, and analyze MATLAB code.
Enables Claude to control your computer locally through a Model Context Protocol server.
Deploy intelligent multi-agent swarms and coordinate autonomous workflows in an advanced agentic development environment.
Provides fine-grained control over Model Context Protocol (MCP) clients, servers, and tools.
Enables local web searching functionality within the ChatWise application.
Provides Rust bindings for the txtai API, enabling semantic search, LLM orchestration, and language model workflows within Rust applications.
Enables interaction with a Paperless-NGX API server through the Model Context Protocol (MCP).
Serves Swagger/OpenAPI specifications through the Model Context Protocol.
Integrates AI assistants with the xtquant quantitative trading platform via the Model Context Protocol (MCP), providing AI access to trading data and functionalities.
Enables local video searching, tailoring, stitching, and playback using FFmpeg command-line via a convenient interface.
Automates iPhone tasks, including app control, UI interactions, and screenshot capture, via a streamable HTTP server using Appium.
Serves Tesla vehicle data and analytics from a TeslaMate database to AI assistants via the Model Context Protocol.
Provides examples and tutorials for building AI applications using the watsonx.ai Flows Engine.
Scroll for more results...