Discover our curated collection of MCP servers for data science & ml. Browse 5736servers and find the perfect MCPs for your needs.
Employs a graph-based AI reasoning framework to enhance scientific research.
Enables querying of comprehensive college football statistics within Claude Desktop.
Augments large language models with OI-Wiki content for enhanced problem-solving in competitive programming and ICPC.
Enables programmatic creation and control of GNU Radio flowgraphs through a Machine Control Protocol (MCP) server.
Integrates the Gemini API for Model Context Protocol (MCP) hosts, intelligently selecting models and providing advanced file handling.
Enables interaction with your Schwab portfolio through a chat interface using the Model Context Protocol.
Enables AI models to understand and analyze codebases through natural language conversations.
Empowers large language models with visual and auditory perception, enabling natural human-computer interactions.
Provides intelligent access to PowerPlatform/Dataverse entities and records through a Model Context Protocol server.
Enables LLMs to access and utilize Google Search results.
Enables AI tools to capture and process screen content for enhanced analysis and interaction.
Analyzes the Solana memecoin ecosystem using AI and on-chain data.
Enables AI assistants to leverage human input via Amazon Mechanical Turk.
Connects AI agents to OPC UA-enabled industrial systems for real-time data interaction.
Enables natural language interaction and control of 3D Slicer by connecting it with model clients through the Model Context Protocol (MCP).
Leverages Google's Gemini API to provide sequential thinking and problem-solving capabilities without code generation.
Provides a persistent, high-performance memory system for Model Context Protocol (MCP) using libSQL.
Provides AI agents and coding assistants with complete web search, crawling, and RAG capabilities through a self-contained Docker solution integrating Crawl4AI, SearXNG, and Supabase.
Facilitates the construction of Model Context Protocol (MCP) clients and servers in Java environments.
Maps clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts leveraging Large Language Models.
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