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mckinsey/vizro-mcp

mckinsey/vizro-mcp

๐ŸŽ–๏ธ ๐Ÿ ๐Ÿ  - Create validated, maintainable data charts and dashboards with Vizro tools and templates
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Config template (adjust for your client)
claude mcp add vizro -- npx -y vizro
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
3,810 โ˜… ยท mckinsey/vizro ยท read from the GitHub search API ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร— ยท listed by 7 sources
Score
score 703 ยท 3,810 โ˜… ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆœๅŠก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository mckinsey/vizro๏ผ›first catalogued 2026-10-09๏ผ›last seen 2026-10-16ใ€‚There is no official certification or quality rating here โ€” we record sources and dates only.
Third-party quality signals

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

ไปฅไธ‹ๆ‘˜ๅฝ•่‡ช่ฏฅไป“ๅบ“็š„ README๏ผˆ็‰‡ๆฎต๏ผ‰ ยท ๅœจ GitHub ่ฏปๅฎŒๆ•ด README โ†’

Documentation | Get Started
What is Vizro?
Vizro is an open-source Python-based toolkit.
Use it to build beautiful and powerful data visualization apps quickly and easily, without needing advanced engineering or visual design expertise.
Then customize and deploy your app to production at scale.
In just a few lines of simple low-code configuration, with in-built visual design best practices, you can quickly assemble high-quality, multi-page prototypes, that are production-ready.
Every Vizro app is defined by a simple configuration, using these high-level categories:
- **Components:** charts, tables, cards, KPI indicators, forms and more.
- **Controls:** filters and parameters, using a range of selectors such as drop-down menus and sliders.
- **Actions:** interactions between components, drill-throughs, export functionality and more.
- **Layouts:** grid layouts or flexible containers, with a range of pre-set styles.
- **Navigation:** a range of app layout and navigation settings, including nested page hierarchies.
Configuration can be written in multiple formats including **Pydantic models**, **JSON**, **YAML** or **Python dictionaries** for added flexibility of implementation.
Optional high-code extensions enable almost infinite customization in a modular way, combining the best of low-code and high-code - including bespoke **visual formatting** and **custom components**.
Visit the "How-to guides" for a more detailed explanation of Vizro features.
Why use Vizro?
The benefits of the Vizro toolkit include:
Vizro helps you to build data visualization apps that are:
**Quick and easy**
Build apps in minutes. Use a few lines of simple configuration (via Pydantic models, JSON, YAML, or Python dictionaries) in place of thousands of lines of code.
**Beautiful and powerful**
Build high-quality multi-page apps without needing advanced engineering or visual design expertise. Use powerful features of production-grade BI tools, with in-built visual design best practices.
**Flexible**
Benefit from the capabilities and flexibility of open-source packages. Use the trusted dependencies of Plotly, Dash, and Pydantic.
**Customizable**
Almost infinite control for advanced users. Use Python, JavaScript, HTML and CSS code extensions.
**Scalable**
Rapidly prototype and deploy to production. Use the in-built production-grade capabilities of Plotly, Dash and Pydantic.
Visit "Why should I use Vizro?" for a more detailed explanation of Vizro use cases.
When to use Vizro?
Use Vizro when you need to combine the speed and ease of low-code Python tools, with production capabilities of JavaScript and BI tools, and the freedom of open source:
- Have an app that looks beautiful and professional by default.
- Enjoy the simplicity of low-code, plus the option to customize with code almost infinitely.
- Rapidly create prototypes which are production-ready and easy to deploy at scale.
How to use Vizro?
Explore a few live demos to see different Vizro dashboards in action:
Basic Dashboard
Try it live
Visual Vocabulary
Try it live
BI Dashboard
Try it live
Call Center Dashboard
Try it live
KPI Dashboard
Try it live
Features Dashboard
Try it live
Browse the full Vizro Gallery for more examples.
Vizro framework
**Low-code framework for building dashboards.**
The Vizro framework underpins the entire Vizro toolkit. It is a Python package (called vizro).
Source
awesome ยท https://github.com/mckinsey/vizro/tree/main/vizro-mcp
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