Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Enables AI assistants to download and analyze YouTube video subtitles.
Enables querying of Brazilian treasury bond data using natural language through an MCP-compatible server.
Enables querying of the PubChem database for chemical compound data and generating structure files.
Monitor Solana wallets and check market indicators using AI and Model Context Protocol (MCP).
Provides structured access to Aster DEX market data, including candlesticks, order books, trades, and funding rates.
Evaluates AI prompts to provide instant feedback on clarity, specificity, and completeness directly within the terminal.
Predicts League of Legends professional esports match outcomes and analyzes summoner performance.
Accesses real-time news intelligence and analysis via an MCP server.
Integrates Large Language Models with cloud infrastructure and the Model Context Protocol to enable intelligent, secure, and auditable AI agentic behavior.
Provides an MCP-compatible server with tools to query comprehensive Chinese company data, enabling seamless integration with large language models.
Provides a Flask-based server implementation for the Model Context Protocol (MCP), offering out-of-the-box security and operational features for AI agent communication.
Integrates video, audio, and image processing with advanced AI and MCP protocol support for intelligent, natural language-driven media content creation.
Integrates the QWeather API to provide comprehensive weather information query capabilities through the Model Context Protocol.
Manages and serves a dynamic collection of AI skills, making them discoverable and usable via the Model Context Protocol.
Provides access to Wolfram Alpha's computational knowledge engine through natural language queries.
Provides a modern C++ implementation of the Model Context Protocol for building AI-powered applications with external tool integration.
Orchestrates interactive command-line interface agents using a tmux-backed agent pool and a Model Context Protocol (MCP) server.
Empower AI agents to make secure, multi-protocol payments for API access autonomously.
Provides macro-factor quantitative trading signals to AI agents through the Model Context Protocol (MCP).
Enables seamless, secure, and decentralized peer-to-peer communication for AI agents across diverse networks without central servers or public IPs.
Scroll for more results...