data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 8922개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides current weather information for cities in Turkey through an MCP interface.
Offers a unified agentic playground for AI benchmarking, workflow automation, and diverse game environments.
Enables non-interactive execution of Octave scripts via the Model Context Protocol (MCP).
Offers concise, topic-wise notes on machine learning, combining mathematical foundations, practical perspectives, and architectural overviews with diagrams.
Streamline the management and optimization of container environments, offering efficient deployment and monitoring across various platforms.
Provides traditional Chinese lunar calendar information, including auspicious date checking, festival data, moon phases, and zodiac insights, ready for AI applications.
Enables LLM agents to fetch live weather information from the OpenWeather API using LlamaIndex and MCP tool integration.
Enables AI assistants like Claude to manage personal expenses and finances through natural language conversation.
Develops a custom MCP server and client for concept testing using Node.js, TypeScript, and Gemini AI.
Provides a Python wrapper for the ArchiveBox API and operates as a Model Context Protocol (MCP) server for Agentic AI.
Provides advanced options analysis and strategy evaluation through Yahoo Finance, enabling LLMs to process options chain data.
Access real-time bus and train information across over 10 Malaysian cities, including live arrivals, vehicle tracking, and route details from major transit providers.
Enables AI assistants to perform accurate unit conversions and access comprehensive reference tables for various measurement systems.
Provides a critical safety layer for AI agents, allowing human review and approval of proposed actions before they execute.
Provides AI agents with programmatic access to the Epstein Exposed public API.
Retrieves structured, ranked evidence from the Europe PMC publication database, transforming raw literature into machine-readable evidence items for AI-driven clinical research.
Reduces Claude API cost by compiling and optimizing prompts for maximum impact and minimum token usage.
Scores, compiles, and optimizes prompts for any LLM, enforcing structure and reducing token costs without internal AI calls.
Provides AI agents with persistent, contextual long-term memory, bridging stateless LLMs with local SQLite persistence for automated cross-session architectural context and project preferences.
Captures the entire macOS screen and saves it as a PNG file, integrating seamlessly with Model Context Protocol clients.
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