model2data studio

io.github.JB-AnalyticaPublished by GitHub account JB-Analyticav0.5.3Updated Nov 14, 2026

Design a data model, metrics and dashboards; generate realistic data and check known answers.

VerifiedStreamable HTTPWeb executableData & Analytics

Overview

AI-generated overview

A studio server for designing data models, metrics and dashboards, generating realistic sample data, and checking known answers.

What you can do
  • Design data models, metrics and dashboards.
  • Generate realistic sample data for a model.
  • Check results against known answers.
  • No tool list is published, so exact operations are not documented.
When to use it
Useful when you are shaping a data model or metric definitions and want an assistant to help build dashboards and validate them against realistic generated data before relying on real data.
Requirements
Either the hosted remote endpoint or a local install via uvx from the PyPI package. Authentication is required (OAuth); a studio API key in MODEL2DATA_STUDIO_KEY, created in the studio's account menu on the Pro plan. MODEL2DATA_STUDIO_URL is only needed for a self-hosted studio.
Before you install
Requires a paid Pro-plan account and an API key passed as MODEL2DATA_STUDIO_KEY, so treat that key as a secret. The published description does not say whether generated data or model definitions are stored or sent to third parties, and no tool list is available to confirm what it writes or changes.

Installation

In SourceWeft

  1. Open model2data studio in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.JB-Analytica%2Fmodel2data-studio/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "model2data-studio": {
      "type": "http",
      "url": "https://studio.jbanalytica.com/mcp"
    }
  }
}

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

5
  1. v0.5.3LatestNov 14, 2026
  2. v0.5.0Nov 13, 2026
  3. v0.4.0Nov 12, 2026
  4. v0.3.0Nov 11, 2026
  5. v0.1.0Sep 25, 2026

Score

75% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.