How do I use Tableau MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Tableau MCP Server show me the top 10 products by sales from the Superstore datasource" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Tableau MCP

Tableau Supported

Build and Test

npm

Overview

Tableau MCP is a suite of developer primitives, including tools, resources and prompts, that will make it easier for developers to build AI applications that integrate with Tableau.

Official Documentation

https://tableau.github.io/tableau-mcp/

Quick Start

Requirements

Node.js 22.7.5 or newer
An MCP client e.g. Claude Desktop, Cursor, VS Code, MCP Inspector, etc.

Standard config works in most MCP clients:

{ "mcpServers": { "tableau": { "command": "npx", "args": ["-y", "@tableau/mcp-server@latest"], "env": { "SERVER": "https://my-tableau-server.com", "SITE_NAME": "my_site", "PAT_NAME": "my_pat", "PAT_VALUE": "pat_value" } } } }

Deploy to Heroku

Example Prompts to Client

Prompt #1: Querying Data

For the Superstore Datasource, what are the top 5 states with the most sales in 2025?

Response

Based on the Superstore Datasource, here are the top 5 states with the most sales in 2025: 1. California - $146,388.34 2. New York - $93,922.99 3. Washington - $65,539.90 4. Texas - $43,421.76 5. Pennsylvania - $42,688.31 California leads by a significant margin with over $146,000 in sales, followed by New York with nearly $94,000. These two states alone account for a substantial portion of the total sales across the top 5 states.

Prompt #2: Content Exploration

Find me the most viewed workbook within the last year.

Response

The most viewed workbook within the last year is: Global Connections - Owner: John Doe - Project: Marketing - Views in last year: 523 - Last Modified: September 2, 2025 - Workbook ID: 111fb672-9401-4913-a167-17b3d89a3e4f