Discover our curated collection of MCP servers for data science & ml. Browse 6480servers and find the perfect MCPs for your needs.
Provides an AI-powered assistant for Avid MediaCentral CTMS, enabling natural language interaction with PAM and MAM systems via an intuitive React UI.
Facilitates natural language search over relational database schemas to quickly locate tables and their relationships.
Connects Large Language Models (LLMs) to the Prometheus HTTP API.
Facilitates access and analysis of clinical evidence data to support precision medicine and oncology research.
Automates web information retrieval using Bing search, Playwright, and large language models for parsing and extracting web content.
Enables AI clients to control Digital Dream Labs and Anki Cozmo robots by acting as a Model Context Protocol (MCP) server.
Bridges Model Context Protocol (MCP) compliant clients with diverse backend services through a high-performance gateway.
Spawn and manage AI coding agents from various backends, enabling parallel execution of complex development tasks.
Provides intelligent, version-aware access to library documentation and APIs to reduce AI code hallucinations.
Automates SEO tasks and provides AI-powered optimization with Google Ads Keyword Planner integration.
Enables Large Language Models to interact with and manipulate JSON data through standardized tools.
Retrieves YouTube video transcripts, enabling AI models to easily access and utilize subtitle data.
Retrieves user geolocation information for integration with large language models through the Model Context Protocol (MCP).
Provides a Next.js project bootstrapped with create-next-app to assist in learning AI concepts.
Provides a lightweight, local-first server for semantic search, file chunking, and embeddings with a web UI and API.
Automates the discovery and AI-powered summarization of arXiv research papers, integrating seamlessly with Claude Desktop.
Automates the transcription and embedding of subtitles into video files using FFmpeg and OpenAI Whisper API.
Provides comprehensive control over Windows desktop applications, enabling AI agents to interact with the GUI, manage processes, and extract information.
Enables LLM agents to safely execute arbitrary Python code in a secure, throw-away sandbox.
Integrate powerful image analysis capabilities into MCP-enabled applications, leveraging local Ollama models for privacy-focused processing without API keys.
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