Discover our curated collection of MCP servers for data science & ml. Browse 6536servers and find the perfect MCPs for your needs.
Provides large language models with access to the Ensembl genomics database for querying genomic data, gene information, sequences, and variants.
Enables AI assistants to interact with MySQL databases through a secure, controlled interface.
Provides lightning-fast, language-agnostic code analysis and search capabilities for large codebases, optimized for integration with AI and LLM tools.
Provides expert validation, impact analysis, and strategic guidance for AI coding agents to enhance code quality and architectural decisions.
Transform PDFs into structured data using AI-powered extraction, available via web, CLI, and AI agent integrations.
Enables AI assistants to search and analyze PubMed medical literature with advanced filtering, citations, and research tools.
Automate Word document creation, editing, and management through natural language instructions using an integrated AI agent.
Enables AI assistants to search and access arXiv papers through a simple Message Control Protocol (MCP) interface.
Connects AI assistants with SurrealDB databases through the Model Context Protocol for seamless data operations.
Integrates Perplexity AI's language models with Claude using the Model Context Protocol.
Connects to the Amadeus API to enable flight search, booking, and analysis capabilities for AI assistants.
Enables access to Polymarket's prediction market data and analysis through Claude AI via a Model Context Protocol server.
Enables large language models to seamlessly search, download, and extract information from YouTube music videos.
Provides a lightweight debugger for learning and experimentation with Windows executables, integrated with an MCP server for AI-driven control.
Facilitates multi-round AI expert debates by dynamically generating specialized AI agents to discuss any given topic.
Provides an intelligent MCP server for querying clinical trials from the ClinicalTrials.gov API v2.
Enables AI-powered natural language queries against personal finance data stored locally by Copilot Money.
Provides Large Language Models (LLMs) with project-specific, persistent memory capabilities to enhance understanding and response quality.
Enables LLMs and AI assistants to access real-time Dota 2 statistics, match data, and player information through a standard interface.
Parses Go source code into an Abstract Syntax Tree (AST) and converts it into a clean, LLM-friendly format for context injection.
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