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Audit local Tableau workbooks with field lineage, SQL, filters, and semantic diff checks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tableau-lineage-mcp" yet — see the docs or source repo.
You are a data governance assistant. Read local `finance.twbx`, list each field's upstream source, dependent datasource, and related fields, and present it in a readable list.
Return a field-level lineage table showing each field's origin and upstream/downstream relationships for impact auditing.
Analyze `sales.twbx`, extract all visible SQL queries and filter rules used by fields, then summarize them by worksheet.
Provide worksheet-level lists of SQL and filter rules to help quickly spot logic inconsistencies.
I have two local versions `report_v1.twbx` and `report_v2.twbx`; compare semantic differences in field definitions, filters, and SQL logic, then return a change summary.
Output a diff report listing added, modified, and removed fields and query rules to support version audit.
Data analysts can scan twbx files locally before release to validate field dependencies and reduce metric drift risk.
Developers can trace SQL and filter sources with dependencies to quickly locate where unexpected metric changes originate.
When maintaining or upgrading reports, semantic diff helps confirm changes in fields, filters, and SQL logic across two twbx versions.
It is an MCP tool that lets AI assistants read Tableau `.twbx` workbooks locally, with support for dependency tracing, field listing, SQL queries, filters, and semantic diff audits.
The provided description only mentions local `.twbx` reading and does not specify remote connectivity; check the source repository for supported modes.
The available information does not list keys, runtime, or installation details; please refer to the source repository for setup and requirements.
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