Discover our curated collection of MCP servers for data science & ml. Browse 7565 servers and find the perfect MCPs for your needs.
Enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model.
Enables AI models to interact with over 100 cryptocurrency exchanges via the Model Context Protocol, streamlining automated trading strategies.
Integrates Model Control Protocol (MCP) services into Spring Boot web applications with minimal configuration.
Fetches real-time cryptocurrency data from the OKX exchange for use with AI assistants.
Performs sophisticated scientific reasoning using a graph-of-thoughts approach and integrates with AI applications via the Model Context Protocol (MCP).
Provides a mathematical optimization server leveraging PuLP and OR-Tools.
Enables real-time voice interactions with large language models, serving as a Model Context Protocol (MCP) server.
Enables large language models to seamlessly interact with MediaWiki installations as a bot user via the MediaWiki API.
Interfaces with the USDA NASS Quick Stats API to provide agricultural survey and census data to agentic AI systems.
Enables AI assistants to securely access and analyze OKX trading and portfolio data.
Offers a Model Context Protocol server for querying and analyzing Taiwan stock market data.
Empowers large language models with symbolic reasoning capabilities using Answer Set Programming and the Clingo solver.
Connects Celery distributed task queues with the Model Context Protocol, enabling advanced task management and AI integration.
Provides a versatile MCP server offering practical tools for ML engineering workflows, including local and remote code execution, file management, remote GPU integration, and an LLM proxy.
Empowers AI large language models with comprehensive financial data and analytical tools tailored for the securities industry.
Enables AI assistants to browse, search, and query Finnish statistical data from Statistics Finland's StatFin database.
Centralizes Model Context Protocol (MCP) server management, routing client requests, and enforcing fine-grained access control across multiple backend servers through a unified interface.
Provides AI agents with a persistent, reinforcement-learning-powered memory system for continuous improvement.
Integrate AI assistants with your Aiqbee knowledge graphs to enable natural language interaction for architecture, portfolio, and digital strategy management.
Empower large language models to conduct autonomous red teaming and internal network penetration testing.
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