data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 6536개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Empowers large language models to query and analyze user session data from OpenReplay, facilitating AI-powered insights into user behavior and application performance.
Accepts local face and ID images for fusion via a ComfyUI server, saving the merged results locally.
Optimizes code context extraction, diff analysis, and import management to minimize token usage for AI assistants.
Provides a complete, isolated internet infrastructure designed for autonomous AI agents to interact freely and be observable by human operators.
Provides a Next.js project bootstrapped with create-next-app to assist in learning AI concepts.
Serves LinkedIn profile data via the Model Context Protocol (MCP) for integration with AI models like Anthropic.
Enables AI assistants to extract and read content from PDF documents using Mistral AI's OCR.
Provides secure, read-only access to RethinkDB databases for AI assistants and Model Context Protocol clients.
Fetches and reads articles from a specified Substack publication, formatting the content for use with AI assistants.
Enables AI assistants to query and explore data within Imply Cloud and Druid databases via a read-only Model Context Protocol server.
Automates the intelligent selection and addition of products to your Mercadona online shopping cart using AI.
Provides a lightweight, local-first server for semantic search, file chunking, and embeddings with a web UI and API.
Connects Google Analytics data to Claude Desktop using CData JDBC Drivers.
Provides LLMs with comprehensive yet safe access to local filesystem operations and system commands through a robust server.
Provides a Model Context Protocol (MCP) server for Pendle Finance, delivering live yield data, DeFi simulations, and AI-powered predictions.
Provides programmatic access to statistical data from the Swiss Federal Statistical Office (BFS) through the Model Context Protocol (MCP).
Automates dataset onboarding and cataloging via a FastAPI-based server, integrating with Google Drive for input and storage.
Integrates OpenSCAD's command-line interface into MCP-compatible clients, enabling validation, rendering, and export of parametric 3D models.
Exposes project-specific `llms.txt` files as resources for AI context enhancement via the Model Context Protocol.
Provides an interface to CRIC Property AI functionalities for accessing industry insights, knowledge bases, and more.
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