Discover our curated collection of MCP servers for data science & ml. Browse 5581servers and find the perfect MCPs for your needs.
Provides a cutting-edge Proof of Concept implementation of a Model Context Protocol (MCP) server using Python and modern technologies.
Transforms legacy database schemas into an AI-ready asset by mediating between modern AI agents and cryptic legacy data.
Facilitates advanced reading and analysis of Excel documents via a powerful Model Context Protocol server.
Provides an MCP server to manage and interact with RedPanal.org's audio platform, enabling listing, detailing, downloading, and uploading of audio files.
Offers a comprehensive open-source collection of AI projects, Model Context Protocol (MCP) servers, and extensive learning resources.
Leverages Retrieval-Augmented Generation (RAG) to provide a powerful question-answering system for documents and code, featuring Google AI integration and multiple API interfaces.
Manages Google Cloud Dataproc clusters and jobs through a standardized Model Context Protocol interface.
Integrates OpenAI's o1 model and Flux capabilities through Model Context Protocol (MCP) servers.
Provides a suite of AI capabilities including image generation, text processing, and speech recognition through an OpenAI-compatible API.
Enables querying live Stripe data with natural language via CData JDBC Driver and Model Context Protocol (MCP).
Exposes PTC ThingWorx as a set of AI-friendly tools and APIs, facilitating interaction via a REST API with AppKey authentication.
Enables large language models to interact with Python environments for code execution, file operations, and development workflows.
Enables interaction with a Python interpreter and file system within a Docker container environment.
Provides AI models access to fictional cat data via the Model Context Protocol.
Access real-time bus and train information across over 10 Malaysian cities, including live arrivals, vehicle tracking, and route details from major transit providers.
Provides Boston-area transit information by communicating with the MBTA API.
Enables interaction with the Bithumb trading API through natural language using LLMs like Claude.
Process PDF lecture materials, extracting text, chunking for large language models, and converting to clean Markdown with LaTeX support.
Automates financial data analysis, portfolio management, and trading recommendations using real-time stock data and technical indicators.
Demonstrates a Python-based server designed for testing with VS Code Copilot in Agent mode.
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