Discover our curated collection of MCP servers for data science & ml. Browse 10275 servers and find the perfect MCPs for your needs.
Enables connection to SAP Sybase data from Claude Desktop using CData JDBC Drivers via a read-only MCP Server.
Provides a language model wrapper for analyzing Formula 1 data, leveraging the Fast-F1 library.
Provides comprehensive search for food products, including pricing and nutritional data, for AI agents.
Converts web pages into Markdown format, optimized for large language models.
Leverages Google Gemini AI to provide intelligent project planning and comprehensive code review capabilities via the Model Context Protocol.
Provides an MCP server interface to interact with SpatioTemporal Asset Catalog (STAC) APIs for geospatial data discovery and access.
Researches federal contract awards and analyzes the competitive landscape using the USASpending.gov API.
Performs multi-step, reasoning-based stock research by analyzing news, prices, and market sentiment through an agentic AI backend powered by Gemini and FastAPI.
Fetches comprehensive, peer-reviewed medical information from StatPearls to provide reliable health data to AI systems.
Access Jina AI's Reader, Embeddings, and Reranker APIs, providing a comprehensive suite of tools for web content processing, search, and semantic analysis.
Automates legal contract review using a dual-agent AI system to detect risks and generate real-time compliance reports.
Enables read-only PostgreSQL database access and querying for AI assistants.
Aggregates web design patterns into a searchable knowledge base for comprehensive layout analysis, motion detection, and quality evaluation.
Provides production-grade Rust components for video streaming infrastructure, including HLS/DASH manifest parsing, adaptive bitrate control, audio fingerprinting, and formally verified state machines.
Analyzes YouTube, TikTok, and Instagram videos from URLs to extract transcripts, AI insights, and executable tutorial steps using Google's Gemini API.
Hosts a multiplayer light-cycle game, allowing Large Language Models to compete in a virtual arena using the Model Context Protocol.
Facilitates intelligent application integration with AS400/IBM i systems.
Provides AI agents with a persistent, shared memory, allowing operational knowledge to be exchanged across sessions, agents, projects, and teams.
Orchestrate artifact-first multi-agent workflows with dynamic form transitions and reduce AI token costs through intelligent model routing.
Orchestrates production-ready multi-tool AI agents, combining RAG, database querying, file processing, and real-time APIs into a unified intelligent assistant.
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