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。8922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。
Enhances web research capabilities for large language models through intelligent search queuing and content extraction.
Enables AI models to securely interact with AWS S3 buckets by providing a standardized interface for listing buckets, listing objects, and downloading file contents.
Facilitates searching, analyzing, and retrieving medical literature from the PubMed database.
Connects the YouTube Data API v3 to an MCP server using MuleSoft, enabling AI agents to query YouTube content.
Serves LinkedIn profile data via the Model Context Protocol (MCP) for integration with AI models like Anthropic.
Connects large language models to live Snapchat Ads data, enabling natural language queries without SQL.
Converts PDF documents into Markdown format leveraging AI for intelligent content extraction.
Enables an MCP-compatible client to execute PostgreSQL queries and receive structured results.
Provides natural language access to Google DeepMind's AlphaGenome for advanced regulatory genomics analysis and variant effect prediction.
Provides a suite of AI capabilities including image generation, text processing, and speech recognition through an OpenAI-compatible API.
Provides an interactive AI trading assistant for Bybit, offering real-time market analysis and post-confirmation trade execution.
Enable AI assistants to interact with and control FiftyOne datasets and computer vision workflows through natural language.
Provides a self-learning knowledge base on the Swiss labor market and the impact of AI, serving as an MCP server for AI agents like Claude Desktop and Clawdbot.
Deliver expert-curated knowledge graphs for AI agents, leveraging PSFK Retail, Beauty, Sports, and partner datasets via the Model Context Protocol.
Provides an MCP server offering 41 AI-powered tools for child safety, fraud detection, and content moderation within Claude, Cursor, and other MCP-compatible AI assistants.
Transforms RSS feeds into token-efficient, AI-ready data for agents through an MCP server.
Accesses multiple AI video, speech, and music generation APIs, focusing on providers with free or promotional tiers.
Optimizes context windows for AI coding assistants by intelligently summarizing raw tool outputs, dramatically reducing token usage.
Exposes a pluggable, observable, and modular Retrieval Augmented Generation (RAG) service framework through the Model Context Protocol for direct invocation by AI assistants.
Transforms any local directory into an ultrafast, visually-aware spatial search engine for AI agents.
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