Discover our curated collection of MCP servers for data science & ml. Browse 8804 servers and find the perfect MCPs for your needs.
Documents and analyzes LLM safety challenges within the Grey Swan Arena competitions.
Implements a Model Context Protocol server for managing AI personas.
Provides an AI-agent-driven server with a Gradio UI for penetration testing and purple team operations.
Integrates real-time weather information with a standardized context protocol for sharing environmental data across systems.
Integrates AppsFlyer analytics data with AI assistants via a Model Context Protocol server.
Integrates a custom Model Context Protocol server, featuring a weather tool, with OpenAI for automated function calling via a Cloudflare Tunnel.
Performs detailed stock analysis utilizing a local AI assistant and web scraping for financial data.
Automates web research, comprehensive report generation, and email drafting using an AI agent with a user-friendly interface.
Provides real-time cryptocurrency analysis and market insights to MCP clients by leveraging the CoinCap API.
Supplies essential agricultural metrics and location-specific weather data to empower AI agents assisting farmers.
Provides a local-first RAG + MCP memory layer designed for AI coding assistants, enabling enhanced project navigation and knowledge recall.
Provides authoritative refund eligibility signals for US consumer subscriptions through a stateless, deterministic API.
Parses over 36 document file formats, extracting text, metadata, and images with advanced chunking and token optimization for AI models like Claude.
Automates LLM red teaming workflows, featuring asynchronous job handling and seamless integration.
Enables AI assistants to query Spark SQL and other HiveServer2-compatible clusters using the Thrift/HiveServer2 protocol.
Transforms app-store reviews into prioritized product intelligence by ingesting, analyzing, and surfacing actionable insights from user feedback.
Solves Boggle boards and checks word boggleability using Trie data structures and constraint-satisfaction algorithms.
Provides natural-language access to RDF knowledge graphs by translating questions into SPARQL queries using an ontology-aware Retrieval Augmented Generation (RAG) pipeline.
Empower AI models and chat clients to interact with Hyperliquid perpetuals using natural language.
Integrates personal Whoop health data, including recovery, sleep, and workouts, directly into any Model Context Protocol (MCP)-compatible AI tool.
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