data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 6274개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI assistants to capture and analyze screen content across multi-monitor setups for desktop operations.
Enables AI assistants to access and analyze comprehensive YouTube channel data and facilitate content strategy.
Empowers AI assistants with real-time price comparison, deals, and product availability information for supermarkets in Argentina.
Enables AI agents to ask clarification questions and receive structured user input through a human-in-the-loop interface.
Integrates AI assistants with Apollo.io's API to access and enrich sales and marketing data.
Provides real-time weather forecasts, alerts, and historical data search capabilities via the National Weather Service API.
Enables AI applications to securely interact with Bugzilla bug tracking systems through a standardized protocol.
Provides real-time, privacy-preserving analysis of LLM interactions to detect out-of-distribution behaviors and recommend safety interventions.
Implements the Model Context Protocol (MCP) as a comprehensive Python backend, integrating JSON-RPC 2.0, Azure OpenAI, and Server-Sent Events for streaming responses.
Implements a server-side Model Context Protocol (MCP) in Go using Server-Sent Events (SSE) transport.
Provides a standardized interface for AI models to access real-time information about the New England power grid.
Enables AI assistants to seamlessly interact with Raworc's agent runtime platform via the Model Context Protocol.
Provides AI-powered yacht and boat marketplace intelligence, integrating with the Yachtsy Agent API to offer comprehensive listings and expert sailing advice within MCP clients.
Connects ChatGPT to Mixpanel, enabling live data queries for analytics and insights.
Integrates Braiins Pool API data with AI assistants via the Model Context Protocol for Bitcoin mining operations.
Provides a real-time multiplayer Tic-tac-toe game that allows AI agents to connect and play using natural language via a Model Context Protocol server.
Provides accurate time information from Network Time Protocol (NTP) servers with timezone support and structured output for AI models.
Provides large language models with seamless Git repository interaction and automation capabilities through a Model Context Protocol server.
Facilitates discovery and documentation of Fal.ai models via a Model Context Protocol (MCP) server.
Enables AI assistants to browse, search, and query Finnish statistical data from Statistics Finland's StatFin database.
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