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Connect AI to Tableau Server for workbook, datasource, and metadata analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "tableau-mcp-navi" yet — see the docs or source repo.
After connecting to Tableau Server, list all workbooks, views, and datasources in the 'Sales Analytics' project and summarize their purpose in English.
A structured inventory of Tableau assets in the project with a short description for each item.
Find views in Tableau Server that contain 'monthly active users', 'conversion rate', and 'retention rate', then rank them by relevance.
A ranked list of matching views, their parent workbooks, and relevance notes for quick dashboard discovery.
Read the fields, calculated fields, and refresh timestamps of a Tableau datasource, identify possibly duplicated or poorly named fields, and suggest improvements.
A datasource metadata summary, a list of potential issues, and actionable cleanup recommendations.
Connect Tableau to query data, explore content, and retrieve views in AI apps.
Lets AI query Tableau data, explore content, and retrieve visualization views.
Read and manage Tableau Server or Cloud content through the REST API.
Connect to the mcp API via MCP to extend AI tool capabilities.
Create, read, and edit Excel files with AI, no Excel installation required.
Securely connect AI to query, analyze, and manage MySQL databases.