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Automate Tableau workbook and data source validation and publishing end to end.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-tableau" yet — see the docs or source repo.
Connect to Tableau Server, upload the local sales analytics workbook, verify the project path, data source connections, and publishing permissions. If validation passes, publish it to the "Sales Operations/Weekly Reports" project and return the publishing result and access link.
Returns validation results, publishing status, target project location, and the access link or error details.
Publish this Tableau data source to Tableau Cloud. Before publishing, validate field mappings, database credentials, refresh settings, and naming conventions. If issues are found, list fixes; otherwise publish it and output the data source ID.
Outputs a validation checklist, issues and fixes, or the published data source identifier and configuration details.
Bulk scan Tableau workbooks and data sources pending release, run pre-publish validation for each item, generate a summary of failure reasons, and automatically publish validated items to the specified project with a final execution report.
Provides a batch job report with validation status, publishing result, failure reasons, and next-step recommendations for each item.
Connect AI to Tableau Server for workbook, datasource, and metadata analysis.
Connect Tableau to query data, explore content, and retrieve views in AI apps.
Read and manage Tableau Server or Cloud content through the REST API.
Lets AI query Tableau data, explore content, and retrieve visualization views.
Auto-generate MCP servers so AI can query data sources without code.
Safely read and auto-fill empty table fields without overwriting existing data.