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mckinsey/vizro-mcp

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

Our verdict

Not reviewed yet

We have not reviewed mckinsey/vizro-mcp yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About mckinsey/vizro-mcp

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

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

Notes

3,697 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

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

Key facts

What we have checked

Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

pip install vizro

Clients the listing names (not checked here)

Claude Desktop, Cursor

Install

Add mckinsey/vizro-mcp to your client

Not verified yet

No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.

Until then, follow the project's own README, or the setup the listing publishes under How to set it up.

Works with

What mckinsey/vizro-mcp connects to

No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.

Health and security

Is mckinsey/vizro-mcp looked after, and what do its setup files show

Security check static checks

100 out of 100

Reads what is published about the server: package advisories, licence, secrets in the documented setup and tool permissions. Nothing is installed or run, so this is not a security assessment. Checked by edna-static-v1 PyPI:vizro@1.0.0. What it checks

Licence: Apache-2.0

  • Note The lab has not recorded this server's tool list yet, so tool permissions were not checked.

Alternatives

Alternatives to mckinsey/vizro-mcp

RecordTypeHow we knowChecked
antv/mcp-server-chartThis is an alternative to itMCP serverNamed in the listingNot dated

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Sources

Where this comes from

No sources recorded yet. Each source we check is listed here with the date we checked it.

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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