MCP ServerSTDIOOfficialv1.0.2

Barangaroo Crosstabs MCP Server

Perform statistical crosstab analysis including chi-square tests, Fisher's exact test, odds ratios, and effect size calculations. Built for data scientists and researchers who need rapid contingency table analysis.

io.github.barangaroo/crosstabs

Hosted URL

Local install

Transport

STDIO

Auth

No auth required

What the Barangaroo Crosstabs MCP server does

How models use it and what it is built for.

Perform statistical crosstab analysis including chi-square tests, Fisher's exact test, odds ratios, and effect size calculations. Built for data scientists and researchers who need rapid contingency table analysis.

Connect to Barangaroo Crosstabs

Local install — runs as a subprocess.

uvx crosstabs==1.0.2

Resources

Where to find authoritative docs and source for Barangaroo Crosstabs.

Example prompts for Barangaroo Crosstabs

Paste any of these into Agent Studio after connecting Barangaroo Crosstabs.

  • Run a chi-square test on a 2x2 contingency table with observed frequencies 45, 30, 20, 15
  • Calculate odds ratio and 95% confidence interval for this case-control study data
  • Perform Fisher's exact test on my contingency table and report the p-value
  • What effect size measures are available for crosstab analysis in this server

Barangaroo Crosstabs MCP server — FAQ

Common questions about connecting and running Barangaroo Crosstabs.

  • What statistical tests does this MCP server support?

    The server supports chi-square tests, Fisher's exact test, odds ratio calculations, and effect size measures for contingency table analysis. These are standard tools for analyzing relationships between categorical variables.

  • How do I install and run the crosstabs MCP server?

    Install using `uvx crosstabs@1.0.2`. The server runs over stdio transport, so you can connect it to any MCP-compatible client like Claude Desktop or a custom integration.

  • What input format does the server expect for crosstab data?

    Refer to the server documentation for the exact schema, but contingency tables are typically provided as matrices of observed frequencies organized by row and column categories.

  • Can I use this for large datasets or only small contingency tables?

    The registry metadata does not specify size limitations. Check the documentation or test with your dataset size to confirm performance characteristics.

  • Does this server replace statistical software like R or SPSS?

    This MCP server provides core crosstab and contingency table analysis functions accessible via chat. For comprehensive statistical workflows, you may still use dedicated tools, but this server integrates statistical testing into your AI-assisted analysis.

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