Descubre nuestra colección curada de servidores MCP para other. Explora 3660 servidores y encuentra los MCP perfectos para tus necesidades.
Provides a cross-platform desktop chat application designed to interact with various LLMs through the Model Context Protocol (MCP).
Upload, edit, search, and generate videos using an LLM interface to Video Jungle.
Enables the creation of reliable agent workflows with advanced reliability features for real-world applications.
Calculates Bazi (八字) information based on an individual's birth datetime, a traditional Chinese metaphysics system.
Enables secure command-line interactions on Windows systems through the Model Context Protocol.
Simplifies the creation of serverless Model Context Protocol (MCP) tools using AWS Lambda and Streamable HTTP.
Empowers AI agents to control a user's browser for tasks like tab management, history search, and web research.
Enables large language models to control and interact with Telegram accounts.
Enables chatbot interaction with external tools via Model Context Protocol (MCP) servers.
Enables natural language interaction with the MacOS Calendar for event management and scheduling.
Enables AI assistants to directly read, edit, and format Google Docs.
Provides an operating system for multi-AI agents, enabling interaction with financial networks and blockchain public chains.
Enables Claude Desktop to interact with task management data in the Things app.
Connects to the Strava API to provide tools for accessing fitness data through Large Language Models.
Enables Large Language Models to execute operating system commands and scripts.
Proxies Model Context Protocol (MCP) servers that use stdio transport via a TypeScript SSE proxy.
Facilitates open-source intelligence by collecting user account information from various public sources.
Generates images from text prompts within the Cursor IDE by leveraging the Jimeng AI service.
Enables AI assistants to discover and utilize Model Context Protocol (MCP) services based on natural language queries.
Executes Python code from LLM prompts within a specified Conda environment.
Scroll for more results...