HoloViz MCP
A comprehensive MCP server that provides intelligent access to the HoloViz ecosystem, enabling AI assistants to help you build interactive dashboards and data visualizations with Panel, hvPlot, Lumen, Datashader, and your favorite Python libraries.
README
✨ HoloViz MCP
A comprehensive Model Context Protocol (MCP) server that provides intelligent access to the HoloViz ecosystem, enabling AI assistants to help you build interactive dashboards and data visualizations with Panel, hvPlot, Lumen, Datashader and your favorite Python libraries.
📖 Full Documentation | 🚀 Quick Start | 🐳 Docker Guide | 🤗 Explore the Tools
✨ What This Provides
Documentation Access: Search through comprehensive HoloViz documentation, including tutorials, reference guides, how-to guides, and API references.
Display Server: Create and share Python visualizations with instant URLs. The show tool executes code in an isolated server and provides web-accessible visualizations that you can view, share, and manage.
Agents Skills: Agents and Skills for LLMs.
Component Intelligence: Discover and understand 100+ Panel components with detailed parameter information and usage examples. Similar features are available for hvPlot.
Extension Support: Automatic detection and information about Panel extensions such as Material UI, Graphic Walker, and other community packages.
Smart Context: Get contextual code assistance that understands your development environment and available packages.
🎯 Why Use This?
- ⚡ Faster Development: No more hunting through docs - get instant, accurate component information.
- 🎨 Better Design: AI suggests appropriate components and layout patterns for your use case.
- 🧠 Smart Context: The assistant understands your environment and available Panel extensions.
- 📖 Always Updated: Documentation stays current with the latest HoloViz ecosystem changes.
- 🔧 Zero Setup: Works immediately with any MCP-compatible AI assistant.
🛠️ Agent Skills (Standalone)
The HoloViz MCP skills follow the Agent Skills specification and can be installed standalone — without running the MCP server — using any skills package manager.
Available skills: panel, hvplot, holoviews, param, panel-material-ui, panel-custom-components, panel-holoviews, holoviz-mcp-cli
With agr:
pip install agr
agr add MarcSkovMadsen/holoviz-mcp/panel
With Vercel skills:
npx skills add MarcSkovMadsen/holoviz-mcp --skill panel
With openskills:
npx openskills install MarcSkovMadsen/holoviz-mcp/panel
Manually: Copy the skills/<name>/SKILL.md file into your agent's skills directory (e.g., .claude/skills/).
Watch the HoloViz MCP Introduction on YouTube to see it in action.
📚 Learn More
Check out the holoviz-mcp documentation:
- Tutorials: Step-by-step guides to get you started
- How-To Guides: Practical guides for common tasks
- Explanation: Understanding concepts and architecture
- Reference: API documentation and technical details
❤️ Contributing
We welcome contributions! See our Contributing Guide for details.
📄 License
HoloViz MCP is licensed under the BSD 3-Clause License.
🔗 Links
- GitHub: MarcSkovMadsen/holoviz-mcp
- Documentation: marcskovmadsen.github.io/holoviz-mcp
- PyPI: pypi.org/project/holoviz-mcp
- Docker: ghcr.io/marcskovmadsen/holoviz-mcp
- HoloViz Community: Discord | Discourse
Note: This MCP server can execute arbitrary Python code when serving Panel applications (configurable, enabled by default). See Security Considerations for details.
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