Discover our curated collection of MCP servers for data science & ml. Browse 6290servers and find the perfect MCPs for your needs.
Unify management and natural language querying across 20 different databases through a single interface.
Extracts code symbols like functions, classes, and structs from codebases with surgical precision for AI assistants.
Enables AI assistants to directly access Medikode's AI-driven medical coding tools through the Model Context Protocol.
Enables LLMs to directly access and utilize data from Google Spreadsheets.
Intelligently preprocesses LLM prompts with adaptive context management to improve AI response quality.
Offers a FastMCP interface to access Hong Kong's recreation, sports, and culture data.
Automates the intelligent scraping, AI-processing, and publishing of Canadian news into engaging Instagram content.
Provides an MCP server to programmatically interact with Web-LLM models running in a browser environment.
Enables AI models to interact with Ethereum Layer 2 networks for deploying tokens and managing transactions.
Provides a comprehensive toolkit unifying 50+ free tools, a built-in RAG system, and a GUI, all designed to run out-of-the-box with various LLM clients.
Retrieves YouTube video transcripts, enabling AI models to easily access and utilize subtitle data.
Generates and validates Wirefilter WAF rules, providing contextual information and testing tools to aid LLMs.
Enables Google Gemini CLI to access and read native Google Drive documents (GDocs, GSheets, GSlides) accessible via the Windows virtual drive.
Control Software Defined Radios and decode radio protocols through an AI-friendly Model Context Protocol interface.
Provides LLDB debugging functionality for use with Claude or other AI assistants.
Serves LinkedIn profile data via the Model Context Protocol (MCP) for integration with AI models like Anthropic.
Execute local Python code, enabling calls to other tools and bridging diverse systems for robust automation.
Enhances LLM responses with factual, real-time web content via Jina.ai's Grounding API.
Provides intelligent AI-driven customer support capabilities by leveraging the Model Context Protocol.
Leverages AI models and resource sets for tasks like semantic search, relationship extraction, and context-aware question answering.
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