Discover our curated collection of MCP servers for data science & ml. Browse 10198 servers and find the perfect MCPs for your needs.
Enables AI assistants to interact with GitHub repositories, issues, and pull requests via the Model Context Protocol.
Retrieves records and details of individuals recognized for their contributions to Korean independence from the National Veterans Affairs Electronic Archives.
Enables large language models to query live SAP Fieldglass data via a Model Context Protocol (MCP) interface.
Manages tasks using natural language commands interpreted by a Large Language Model.
Accesses and manages a personal or team internal knowledge repository, facilitating semantic search and information retrieval.
Enables building Retrieval Augmented Generation (RAG) capabilities for PDF documents.
Provides an intelligent stock data assistant based on the Model Context Protocol, enabling natural language conversation with AI assistants to retrieve financial data.
Provides searchable information about the Dotika AI company using Google results via SerpAPI.
Provides access to NHL live data and statistics through natural language queries via a Model Context Protocol (MCP) server.
Manages knowledge seamlessly with a local-first, graph-augmented context management solution for AI interactions and insights.
Provides structured access to GitHub repository data, exposing it as reliable, AI-callable tools for agents.
Manages stock trading operations with integrated artificial intelligence capabilities.
Exposes Google Gemini's full capabilities, including multimodal vision, code execution, grounding, and structured output, to any Model Context Protocol client.
Facilitate clear communication and collaboration among decentralized AI agents through a semantic interoperability layer.
Enables Claude to store and retrieve long-term memory using a local Markdown file, functioning as a lightweight Model Context Protocol server.
Provides perception, computation, and memory tools for analyzing Taiwan stock using Elliott Wave Theory, specifically designed to support AI applications.
Provides read-only access to Azure Blob, Queue, and Table Storage services via a Model Context Protocol (MCP) server.
Parses PowerPoint (PPTX) files to extract structured content, including text, styling, shapes, and metadata.
Integrate AI assistants like Claude with your Scispot lab workspace to manage experiments, protocols, documentation, and inventory using natural language.
Transforms long-form online sources like YouTube, Bilibili, RSSHub, and RSS feeds into grounded search results, knowledge cards, and MCP-ready operations.
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