Tableau MCP is a suite of developer primitives—including tools, resources, and prompts—that simplifies building AI applications designed to integrate seamlessly with Tableau environments.

What are the prerequisites for getting started with Tableau MCP?

To begin using Tableau MCP, you'll need Node.js 22.7.5 or newer and an MCP client such as Claude Desktop, Cursor, VS Code, or MCP Inspector.

Does Tableau MCP support natural language interaction with Tableau data?

Yes, Tableau MCP allows AI applications to query data directly from your Tableau datasources using natural language prompts, making data access intuitive and efficient.

What are the key capabilities for AI applications using Tableau MCP?

Developers can use Tableau MCP to enable AI applications to query Tableau data with natural language, explore Tableau content like workbooks and views, and retrieve images of specific Tableau views.

MCPMarket

Submit MCP Power Your AgentsConnect

Tableau

Name: Tableau
Author: datalabs89

bydatalabs89

Developer Tools

Data Science & ML

Analytics & Monitoring

Provides developer primitives to build AI applications that integrate with Tableau.

About

Tableau is a suite of developer primitives designed to simplify the creation of AI applications that seamlessly integrate with the Tableau platform. It offers a collection of tools, resources, and prompts, enabling developers to enhance AI client capabilities with Tableau's powerful data visualization and analytics features. By providing a standardized way to interact with Tableau content and data, it empowers AI clients to query datasets, explore workbooks, retrieve views, and respond to natural language requests based on Tableau's insights.

Key Features

Offers developer primitives including tools, resources, and prompts
Facilitates the retrieval of images for specific Tableau views
Supports querying data from Tableau datasources using natural language
0 GitHub stars
Integrates AI applications with Tableau environments
Enables exploration of Tableau content such as workbooks and views

Use Cases

Developing custom AI-driven interfaces to interact with and visualize Tableau reports and dashboards.
Building AI assistants that can respond to natural language queries about Tableau data and content.
Automating data exploration and insights generation directly from Tableau through AI applications.

About

Key Features

Offers developer primitives including tools, resources, and prompts
Facilitates the retrieval of images for specific Tableau views
Supports querying data from Tableau datasources using natural language
0 GitHub stars
Integrates AI applications with Tableau environments
Enables exploration of Tableau content such as workbooks and views

Use Cases

Developing custom AI-driven interfaces to interact with and visualize Tableau reports and dashboards.
Building AI assistants that can respond to natural language queries about Tableau data and content.
Automating data exploration and insights generation directly from Tableau through AI applications.