Data Science Tools
Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.
Oura MCP Server: Connect AI models to Oura Ring data for context-aware health applications.
Build MCP-compatible AI servers easily with http4k. Integrate AI models with type-safe tools and flexible transport.
`mcp-agent`: A lightweight framework for building AI agents with Model Context Protocol (MCP). Simplifies integration and workflow management.
Spring AI MCP: Java SDK for integrating AI models into Spring applications via the Model Context Protocol (MCP).
**jupyter-mcp-server** is an **MCP Server** enabling AI models to interact with Jupyter notebooks. Execute code and add markdown cells directly from AI clients like Claude Desktop for enhanced **AI model integration** and workflow automation.
`markitdown-mcp` is an MCP Server utilizing the MarkItDown tool for converting diverse files into LLM-optimized Markdown. It enables AI models to directly ingest structured content via the Model Context Protocol, streamlining data preparation.
`mcp-browser-use` is an MCP Server enabling AI models to perform browser automation and web research using natural language. It implements the Model Context Protocol for seamless integration with AI agents, offering tools for navigation, interaction, and deep search tasks.