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。5711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。
Provides a standardized interface for AI agents to interact with Commvault software.
Implements the Chain of Draft (CoD) reasoning approach within an MCP server, enabling efficient LLM reasoning.
Enables AI assistants to connect to data sources, transform data, and generate visualizations through natural language requests.
Access real-time and historical Formula 1 racing data via the Model Context Protocol.
Enables AI models and agents to measure internet speed and network performance metrics through a standardized Model Context Protocol (MCP) interface.
Integrates Google Gemini 2.5 Flash image generation, editing, and composition capabilities directly into Claude conversations.
Exposes Revit API documentation and related content to Large Language Models, curbing hallucinations and providing access to niche information.
Enables AI agents to explore and analyze decentralized finance yield opportunities using data from DefiLlama.
Enables AI assistants to search and query Cloudflare AutoRAG knowledge bases using various search methods.
Enables natural language interaction with databases and subscribed data shares using Anthropic's Model Context Protocol.
Enables AI assistants to access Interactive Brokers TWS API for real-time portfolio, account, and market data.
Enables interaction with Powerdrill datasets through natural language using a Model Context Protocol (MCP) server.
Enables video, image, and audio generation through RunwayML and Luma AI APIs using text and image prompts.
Analyzes images using OpenRouter vision models, providing descriptions and enabling AI assistants to understand visual content.
Processes emails from Outlook, stores them in SQLite, and generates vector embeddings for semantic search.
Enables LLM applications to perform real-world telephony operations such as voice calls and SMS messaging using the Vonage API.
Enables Retrieval Augmented Generation (RAG) capabilities for Large Language Models (LLMs) by indexing and retrieving relevant information from documents.
Connects AI assistants to DuckDB for powerful data analysis through the Model Context Protocol.
Integrates Google's Gemini Pro model with the Model Context Protocol for use in applications like Claude Desktop.
Orchestrates sophisticated AI agents by integrating production-ready libraries for memory, observability, and reinforcement learning.
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