data science & ml向けの厳選されたMCPサーバーコレクションをご覧ください。9012個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Retrieves historical weather data from Visual Crossing's API.
Enables AI assistants to perform comprehensive MongoDB database operations through a standardized Model Context Protocol interface.
Gathers information from various smart home devices and services around a house.
Track and analyze the scale of AI-generated code by counting lines of code, comments, and blank lines across various programming languages.
Provides a Model Context Protocol (MCP) server for healthcare tools, facilitating interaction with FHIR resources on Google Cloud Healthcare API and public medical research APIs.
Facilitates AI-powered video generation, replica management, conversational AI, lipsync, and speech synthesis via an MCP server.
Automates academic research and hypothesis generation with a self-learning multi-agent system, processing thousands of papers per minute and visualizing real-time citation graphs.
Provides semantic search capabilities over AWS Cloudscape Design System documentation for AI agents and coding assistants.
Provides comprehensive code analysis, navigation, and quality assessment across over 25 programming languages for various development workflows.
Transforms street addresses into local zoning data for AI agents, integrating with platforms like OpenAI Agent Builder and ChatKit.
Optimize retrieval-augmented generation systems through advanced LLM-powered methods, improving precision, reducing context size, and maintaining fast performance.
Orchestrates AI agents at scale, enabling seamless context sharing, communication, and integration for enhanced collaboration.
Empower AI agents with professional financial intelligence across global markets, providing comprehensive data, analysis, and trading capabilities.
Connect to the Fred database to query and explore economic data.
Builds modular, self-healing AI agents combining advanced memory, multi-channel connectivity, and autonomous task execution.
Renders interactive 2D molecular structure diagrams from SMILES notation using RDKit.js, directly within a chat interface.
Augments qualitative coding for Braun & Clarke's Reflexive Thematic Analysis, enabling structured AI-assisted interpretation while preserving researcher authority.
Empowers AI agents with a comprehensive toolkit to query the Bitcoin blockchain, inspect transactions, analyze mempool fee markets, and understand protocol details via a local Bitcoin Core node.
Orchestrates parallel AI agent sessions, enabling simultaneous execution of coding, planning, research, and testing tasks with isolated contexts and multi-account rate limit resilience.
Orchestrates intelligent AI workflows, offering long-term memory, over 100 integrations, and a unified credit system through any MCP-compatible client.
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