data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 10275개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables data visualization within LLM workflows using Vega-Lite specifications.
Enables large language models to interact with the Alpaca trading API for stock trading and account management through natural language.
Enables querying of the Consumer Financial Protection Bureau's (CFPB) Consumer Complaint Database API from within applications like Claude Desktop.
Enables querying Mollie payment data using natural language via an LLM.
Generates educational explanation videos based on topics using the Scenext AI video generation platform.
Enables Large Language Models to query live Pinterest data through a Model Context Protocol server.
Retrieve real-time water data including stream flow, gage height, and temperature from USGS monitoring stations.
Transforms natural language questions into SQL queries utilizing AI-powered multi-agent systems.
Provides intelligent context management tools to help MCP clients maintain consistency in long-running AI conversations, solving LLM memory loss and intent forgetting.
Deploys an agentic AI architecture on AWS Fargate for Amazon ECS, enabling an AI service to interact with multiple Model Context Protocol servers to perform various actions.
Enhance FastMail email management with AI-powered features for smart analysis, organization, and contextual reply generation.
Provides a persistent quantitative workspace for mathematical operations, data visualization, and cross-session state via the Model Context Protocol.
Provides enhanced semantic code search and deep context for AI coding agents with improved stability, faster synchronization, and reliable data persistence.
Enables AI models to access and query jOOQ documentation, including SQL examples and best practices.
Provides an MCP server to integrate Doubao's advanced image and video generation capabilities into various clients.
Provides AI agents with high-performance, self-evolving long-term memory and knowledge management capabilities.
Facilitates AI agent communication by providing text-to-speech output and comprehensive Telegram notification and interaction capabilities.
Empowers AI agents with a self-evolving RAG system for autonomously managing cross-application persistent memory.
Enables an AI to autonomously play Pokémon Fire Red within the mGBA emulator, creating dynamic and personalized gameplay experiences.
Enables AI agents to search and evaluate over 15,000 paid API endpoints across L402, x402, and MPP protocols with real-time health monitoring.
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