mckinsey/vizro-mcp
by Various
Vizro is a low-code toolkit for building high-quality data visualization apps.
MCP
mckinsey/vizro-mcp
Added 1 June 2026
Overview
Vizro-MCP is a Model Context Protocol server that lets AI assistants generate and modify Vizro data visualization dashboards. It connects large language models to the Vizro low-code toolkit for creating high-quality visualizations through natural language.
Best for
Best for
Data professionals and analysts who want to create Vizro dashboards using natural language with an AI assistant
Use cases
- Building interactive data dashboards via conversational AI
- Rapidly prototyping visualizations from natural language descriptions
- Iterating on chart layouts and configurations through chat commands
How to use
Install
pip install vizro Tested with
Claude Desktop, Cursor
Notes
Vizro-MCP is a Model Context Protocol server that lets AI assistants generate and modify Vizro data visualization dashboards. It connects large language models to the Vizro low-code toolkit for creating high-quality visualizations through natural language.
3,697 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Building interactive data dashboards via conversational AI
- Rapidly prototyping visualizations from natural language descriptions
- Iterating on chart layouts and configurations through chat commands
Pros
- Integrates with any MCP-compatible AI assistant or IDE
- Leverages Vizro’s low-code Python API for quick dashboard creation
- Enables non-technical users to produce polished visualizations
Cons
- Requires Vizro knowledge for advanced customizations beyond basic templates
- Performance depends on the LLM’s ability to generate correct Vizro code
- Limited to Vizro’s supported chart types and layout options
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Integrates with any MCP-compatible AI assistant or IDE
- Leverages Vizro's low-code Python API for quick dashboard creation
- Enables non-technical users to produce polished visualizations
Cons
- Requires Vizro knowledge for advanced customizations beyond basic templates
- Performance depends on the LLM's ability to generate correct Vizro code
- Limited to Vizro's supported chart types and layout options
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