Overview
What is Tableau MCP?
Tableau MCP is a suite of developer primitives including tools, resources, and prompts that make it easier to build AI applications integrating with Tableau. It is designed for developers using MCP clients like Claude Desktop, Cursor, VS Code, or MCP Inspector.
How to use Tableau MCP?
Install via npm and configure the MCP client with the command npx -y @tableau/mcp-server@latest and environment variables for your Tableau server, site name, and personal access token (PAT). Then send natural language prompts to query data, explore content, or get views.
Key features of Tableau MCP
- Tools, resources, and prompts for Tableau integration.
- Query Tableau data sources using natural language.
- Explore workbook content and metadata.
- Retrieve view images directly.
- Deployable to Heroku with one click.
Use cases of Tableau MCP
- Querying top sales figures from a Superstore datasource.
- Finding the most viewed workbook within the last year.
- Getting an image of a specific view in a Tableau project.
- Building AI-powered assistants that answer questions about Tableau content.
FAQ from Tableau MCP
What is Tableau MCP?
Tableau MCP is a Model Context Protocol server that provides tools, resources, and prompts to help developers build AI applications that integrate with Tableau.
How do I configure Tableau MCP?
Configure your MCP client with the command npx -y @tableau/mcp-server@latest and set environment variables SERVER, SITE_NAME, PAT_NAME, and PAT_VALUE for your Tableau server credentials.
What are the requirements to run Tableau MCP?
You need Node.js 22.7.5 or newer and an MCP client such as Claude Desktop, Cursor, VS Code, or MCP Inspector.
Can I deploy Tableau MCP to Heroku?
Yes, the README includes a "Deploy to Heroku" button that streamlines deployment to Heroku.
Does Tableau MCP support any MCP client?
Yes, it works with any standard MCP client that can execute commands and set environment variables.
