Data · Local MCP server

model2data studio

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

Visit model2data studio's website

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.JB-Analytica/model2data-studio
Version
0.1.0
Status
Active
Category
data
Transport
stdio (local process)
Package
PyPI
Published
2026-09-25
Updated
2026-09-25
Publisher
JB-Analytica (GitHub)
Website
www.jbanalytica.com/model2data/
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxmodel2data-studio0.1.0stdioMODEL2DATA_STUDIO_KEY (required, secret), MODEL2DATA_STUDIO_URL

How to connect model2data studio

model2data studio runs locally from a Python package published to PyPI: model2data-studio version 0.1.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx model2data-studio. It reads these environment variables: MODEL2DATA_STUDIO_KEY (required, secret) and MODEL2DATA_STUDIO_URL; set them in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "model2data-studio": {
      "command": "uvx",
      "args": [
        "model2data-studio"
      ],
      "env": {
        "MODEL2DATA_STUDIO_KEY": "<secret>",
        "MODEL2DATA_STUDIO_URL": "<value>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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