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。5562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。
Generates responses based on the latest information using the Gemini API and Google Search.
Transforms unstructured information into organized, sourced timelines.
Gathers comprehensive web research using Tavily's Search and Crawl APIs and structures the data for high-quality markdown document generation by LLMs.
Provides persistent memory and context recall for AI conversations and models, enhancing their ability to remember past interactions and decisions.
Enables programmatic interaction with Label Studio instances for managing labeling projects, tasks, and predictions.
Enables AI models to search, retrieve, and utilize GIFs from Giphy.
Enables LLM agents to interact with Industry Foundation Classes (IFC) files.
Enables AI agents to discover, connect to, query, and understand PostgreSQL databases using the Model Context Protocol.
Generates images from text prompts using Google's Gemini Flash models through the MCP protocol.
Analyzes conversational speech patterns from Limitless Pendant recordings using scientifically validated metrics, offering AI-powered features for time queries, meeting detection, and action item extraction.
Enables AI applications to automate and interact with spreadsheet operations using the powerful Univer framework.
Enables interaction with LLMs using mcp.run tools via a Python library.
Enables seamless communication between AI Agents and Hologres databases for metadata retrieval and SQL operations.
Provides AI assistants with secure and structured access to GreptimeDB for exploration and analysis.
Grounds AI coding assistants with local, official documentation for building reliable, secure, and observable AI agents with LangGraph.
Connects Claude AI to the Kaggle API, enabling interaction with competitions, datasets, and kernels through an AI interface.
Implements a Model Context Protocol (MCP) server for the Qwen Max language model, enabling integration with tools like Claude Desktop.
Enables developers to build intelligent, document-based Retrieval-Augmented Generation (RAG) applications.
Simplifies the interaction of AI agents with Move-based blockchains by providing a unified interface for blockchain operations.
Enables generative AI tools to access and utilize Microsoft Fabric resources without requiring premium licensing.
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