Enterprise DNA
M MCP Servers Developer low

mckinsey/vizro-mcp

by Various

Vizro is a low-code toolkit for building high-quality data visualization apps.

M

MCP

mckinsey/vizro-mcp

Added 1 June 2026

#dashboard #data-visualization #plotly #plotly-dash #pydantic #python #visualization

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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