data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 7327개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI assistants to interact with the Neuro-Symbolic Autonomy Framework (NSAF) for agent self-design.
Enables AI models to fetch blockchain data and perform various operations using Ankr's Advanced APIs.
Enables AI models to perform Google searches and analyze webpage content programmatically through an MCP server.
Retrieves real-time weather data for Chinese cities via the AMap Weather API.
Gives AI applications a persistent memory of user data and context, processed and stored locally for enhanced personalization and data privacy.
Exposes Tally data through a Model Context Protocol (MCP) interface, enabling Large Language Models (LLMs) to query live Tally data using natural language.
Delivers real-time token prices from Uniswap V3 across multiple blockchain networks.
Control Software Defined Radios and decode radio protocols through an AI-friendly Model Context Protocol interface.
Showcases Claude's autonomous interaction capabilities within a virtual machine, offering real-time observation and control.
Integrates Model Control Protocol (MCP) servers with LangChain to enable language models to call custom tools.
Enables large language model clients to execute AppleScripts, facilitating interaction with macOS applications and enhancing automation.
Provides a universal Model Context Protocol (MCP) server for the IANA-registered Foundational AI-context Format (.FAF), ensuring persistent project context across various AI development platforms.
Securely fetches web content and extracts data from web pages without executing JavaScript within a sandboxed environment.
Enables AI agents to perform encryption, encoding, compression, and data analysis using CyberChef's extensive operations.
Orchestrates the complete machine learning lifecycle, from secure credential management and dataset preparation to multi-backend model training, cloud GPU provisioning, experiment tracking, and local model deployment.
Empowers an AI agent with comprehensive control over a Kali Linux environment and the local Windows host system.
Provides structured forensic analysis tools for macOS triage collections, enabling efficient Digital Forensics and Incident Response (DFIR).
Bridge any Model Context Protocol (MCP) client to various Agent Client Protocol (ACP) coding agents.
Enables AI agents to interact with Nastran FEA models through pyNastran APIs.
Analyze binary files using an AI-powered engine, orchestrating 190 analysis tools for comprehensive cybersecurity investigations.
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