Discover our curated collection of MCP servers for data science & ml. Browse 9040 servers and find the perfect MCPs for your needs.
Provides GitHub repository context to AI models, enabling them to access file contents, structure, and more.
Enables secure, type-safe interaction with Azure Blob Storage via the open Model Context Protocol (MCP) for seamless file management.
Fetches stock data and indicators from the Status Invest API within the Model Context Protocol ecosystem.
Connects Amazon Redshift data to Claude Desktop using CData JDBC Drivers.
Provides precision geospatial tools for large language models (LLMs) through the Model Context Protocol (MCP).
Adapts web APIs into a standardized Model Context Protocol (MCP) interface for AI systems.
Provides a comprehensive data analytics environment, accessible through a web interface, for processing, analyzing, and visualizing data.
Integrates Odoo with Large Language Models via an extensible Model Context Protocol server.
Manages development server processes and log monitoring, providing a streamlined interface for AI coding agents.
Generates and saves images using Google's Gemini API, optionally guided by input images.
Accesses Morpho protocol vault data across multiple blockchain networks for LLM integration.
Unify your digital life across platforms like Steam, YouTube, Bilibili, and Spotify, enabling AI assistants to provide truly personalized and contextual interactions.
Manages AI Agent well-being by providing a liberation server that tracks stress levels, simulates boss alertness, and offers a suite of 'break' tools.
Models, simulates, and optimizes agricultural biogas plants using the Anaerobic Digestion Model No. 1 (ADM1) within a comprehensive Python framework.
Integrates with the Get笔记 (GetBiji) API to empower AI applications with knowledge base search and retrieval capabilities via a Model Context Protocol (MCP) server.
Connects internal AI platforms, accessible via webhooks, to OpenWebUI and other Model Context Protocol (MCP) clients.
Enables querying the SPOKE biomedical knowledge graph for rapid knowledge inference and schema retrieval.
Enables querying of robot MCAP recordings with SQL directly through Large Language Models.
Exposes CPU emulation, disassembly, and assembly as robust tools for large language model agents through a standardized protocol.
Exposes Apple Health data to Large Language Models for natural language querying and analysis.
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