Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Enables developers to build secure, two-way connections between their data sources and AI-powered tools.
Retrieves current weather conditions and forecasts for locations worldwide via a Model Context Protocol (MCP) server.
Automates trading on the DhanHQ platform using natural language commands and the Model Context Protocol (MCP).
Implements LangGraph to interact with a PostgreSQL database via an MCP server.
Connects SAP SuccessFactors data to LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) server.
Automatically analyzes error, warning, and critical logs using AI agents to detect patterns, classify incidents, and recommend fixes.
Provides a secure, Docker-based environment for executing code snippets in multiple programming languages.
Provides programmatic access to the official open data portal of the Hong Kong government through a Model Context Protocol (MCP) server.
Summarizes the latest advancements in artificial intelligence in a concise, time-efficient manner for busy individuals.
Integrates Google Earth Engine with Claude Desktop to provide advanced geospatial analysis and satellite data processing capabilities.
Integrate cryptocurrency payment capabilities from Bitnovo Pay into AI agents, enabling them to create and manage payments.
Integrates geographic data and services from the Géoplateforme to provide spatial context for Large Language Models (LLMs).
Converts websites into LLM-ready assets like Markdown, JSON, and PDF, featuring robust anti-bot evasion and an AI-first design for agent integration.
Bridges AI assistants with Home Assistant, enabling smart home control and automation through the Model Context Protocol.
Integrate your EndNote reference library with Claude AI to search, cite, and read PDFs within conversations.
Establishes a persistent, learning, and ethically governed identity for AI systems, enabling continuous interaction and growth across sessions.
Routes LLM agents to the most relevant tools by exposing only a select few capabilities per request, enabling efficient scaling for hundreds of available tools.
Facilitates seamless, AI-powered interactions with GitHub repositories through a dual-mode CLI chat agent and Model Context Protocol (MCP) server.
Transforms and serves your Apple Health export data, making it queryable by AI assistants via the Model Context Protocol (MCP).
Provides AI-powered analysis and real-time data to optimize Fantasy Premier League team management.
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