data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 5662개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates with Elasticsearch to manage Message Conversion Protocol (MCP) data through a RESTful API.
Connects AI assistants to Xero accounting data seamlessly for AI-powered insights and automation.
Offers programmatic access to a MongoDB movie database, enabling efficient querying and analysis.
Implements Model Context Protocol (MCP) servers for LinkedIn profile scraping and weather data retrieval.
Enables AI assistants to interact with the Walrus decentralized storage network for data storage and retrieval.
Facilitates conversational interactions powered by language models and the Groq API.
Manages tasks using natural language commands interpreted by a Large Language Model.
Provides a server for managing model context during development and learning.
Provides a powerful Retrieval-Augmented Generation (RAG) server with dynamic support for various embedding providers via the Model Context Protocol (MCP).
Integrates Large Language Models with real-world APIs using the Model Context Protocol for standardized AI-API interactions.
Generates images using the Replicate Flux Schnell model via a simple HTTP API.
Enables connecting to Zendesk data from Claude Desktop using CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.
Enables AI agents to query Taiwan stock holdings from multiple brokerage firms via an MCP Plugin.
Provides real-time weather data to AI agents via the Model Control Protocol (MCP).
Transforms unstructured resume text from JSON input into a structured JSON output using an AI model.
Analyzes transactions for fraud using advanced models, providing insights and risk scores to enhance investigation efficiency.
Provides large language models with comprehensive access to Georgia Tech's academic, research, and campus data.
Enables AI assistants to perform web automation tasks by controlling a browser through a Playwright-based Model Control Protocol server deployed on Cloudflare Workers.
Provides a robust WebSocket-based server for managing AI model requests and responses via the Model Control Protocol.
Retrieves and expands YouTube video comments and their replies using the YouTube Data API v3, delivering the data as a structured JSON string.
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