Explore our complete collection of MCP servers to connect AI to your favorite tools.
Builds versatile and intelligent chatbots leveraging advanced LangGraph concepts for enhanced conversational capabilities and tool integration.
Access content from MediaWiki-based websites through the Model Context Protocol to ground AI responses.
Enables Claude Desktop to communicate with Devin's SSE transport, ensuring reliable passage of a Personal API Key.
Integrates with the Algorand blockchain as a production-ready Model Context Protocol (MCP) server, offering a comprehensive suite of tools for blockchain interaction.
Provides comprehensive programmatic access to the GridStack.js API, enabling the creation and management of dynamic drag-and-drop grid layouts and interactive widget systems.
Transforms feature ideas into executive-ready business cases by providing consulting-grade strategic business analysis and real-time market intelligence.
Exposes database schema information generated by tbls and enables secure SQL query execution on MySQL and SQLite databases via the Model Context Protocol.
Orchestrates intelligent tool discovery and recommendation from Python directories using Google Gemini AI.
Provides core utility tools for interacting with the local file system and retrieving essential system information via a Model Context Protocol (MCP) server.
Exposes a JSON-RPC endpoint for retrieving simplified weather data from OpenWeatherMap.
Manages Docker containers, images, networks, and volumes through natural language commands.
Facilitates direct documentation search for large language models.
Facilitates secure SSH connections, remote command execution, and file management across servers using the Model Context Protocol.
Provides weather information tools for AI assistants via a Model Context Protocol (MCP) server implementation in TypeScript.
Establishes a Model Context Protocol (MCP) server to integrate AI coding assistants with DaVinci Resolve, facilitating natural language control over its functionalities.
Provides real-time incident data from the Seattle Fire Department, optimized for large language models.
Provides a robust WebSocket-based server for managing AI model requests and responses via the Model Control Protocol.
Integrates ArXiv research papers and sequential thinking tools with AI assistants, enabling enhanced information retrieval and dynamic problem-solving.
Transforms unstructured resume text from JSON input into a structured JSON output using an AI model.
Retrieves and expands YouTube video comments and their replies using the YouTube Data API v3, delivering the data as a structured JSON string.
Predicts user intent, translates diagnostic reports into multiple languages, and orchestrates daily tasks with an interactive UI.
Provides core server functionality, enabling applications to interact with MCP data over standard I/O and HTTP.
Displays an interactive hyperbolic shader on Linux with real-time video textures, controllable via an LLM using the MCP protocol.
Manages and categorizes tools relevant to MCP Server environments.
Empowers AI coding assistants with real-time visual context from iOS Simulators and React Native apps.
Enhances the Kafka Docker Playground CLI experience by providing intelligent command completion, validation, and contextual assistance through GitHub Copilot.
Provides real-time stock data, historical prices, news, and comparison features leveraging Yahoo Finance data.
Facilitates WhatsApp messaging and instance management through an API server that interfaces with Evolution API.
Enables the deployment and integration of Model Context Protocol (MCP) servers with Microsoft Copilot Studio, providing AI models with standardized access to contextual data and tools.
Streamlines the creation of new project structures from predefined templates, integrating with MCP clients for interactive development.
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