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Let AI read, edit, and query local Tableau workbook files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Tableau Local MCP Server" yet — see the docs or source repo.
Read the local Tableau workbook /Users/me/reports/sales_dashboard.twbx, list all data sources, worksheets, dashboards, and key fields, then summarize the structure in English.
A structured inventory of the workbook, including data sources, sheet objects, and field overview, plus a brief summary.
Open the local Tableau workbook ./finance/quarterly_report.twb, rename every field containing "Profit Margin" to "Gross Margin", update all dashboard titles to "2024 Quarterly Business Review", and save as a new file.
A modified workbook saved as a new file, with a report of updated field names and titles.
Analyze the local Tableau workbook ./ops/kpi_dashboard.twbx, extract all calculated fields and formulas, show which source fields each depends on, and flag possibly duplicate or unused calculations.
A list of calculated fields, formulas, field dependencies, and analysis of potentially redundant or unused items.
Connect AI to Tableau Server for workbook, datasource, and metadata analysis.
Read and manage Tableau Server or Cloud content through the REST API.
Query Tableau data, explore content, and retrieve views using natural language.
Automate Tableau workbook and data source validation and publishing end to end.
Lets AI query Tableau data, explore content, and retrieve visualization views.
Connect Tableau to query data, explore content, and retrieve views in AI apps.