mcpField
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model2data studio

Local
jbanalytica.comDeveloper Tools
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About model2data studio

Realistic fake data from a schema designed in model2data studio: preview rows, write seeds.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "jb-analytica-model2data-studio": {
      "command": "uvx",
      "args": [
        "model2data-studio"
      ],
      "env": {
        "MODEL2DATA_STUDIO_KEY": "<MODEL2DATA_STUDIO_KEY>",
        "MODEL2DATA_STUDIO_URL": "<MODEL2DATA_STUDIO_URL>"
      }
    }
  }
}
Run commanduvx model2data-studio
Environment variables to set
MODEL2DATA_STUDIO_KEYSecretA studio API key, created in the studio's account menu (Pro plan).
MODEL2DATA_STUDIO_URLThe studio to talk to. Only for a self-hosted studio.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypimodel2data-studio0.1.0

Tools

5

Saved tool list · updated 2w ago

This tool takes no parameters.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.