What is Tableau Mcp Server

The tableau-mcp-server is a Model Context Protocol (MCP) server designed to integrate Tableau with Generative AI applications, providing a robust data visualization and analytics platform.

Use cases

Use cases for tableau-mcp-server include integrating Tableau dashboards with AI-driven applications, enhancing data analysis workflows, and providing real-time data visualization solutions in enterprise environments.

How to use

To use tableau-mcp-server, install it via pip with ‘pip install tableau-mcp-server’ or clone the repository and install from source. Configure the server by creating a .env file or setting environment variables, then initialize and start the server using Python.

Key features

Key features include comprehensive Tableau API coverage, multiple authentication methods, enterprise readiness with rate limiting, full error handling and retry logic, and asynchronous support for improved performance.

Where to use

tableau-mcp-server can be used in various fields that require data visualization and analytics, such as business intelligence, data science, and application development.

Tableau MCP Server

A Model Context Protocol (MCP) server for integrating Tableau with GenAI applications.

Overview

Data visualization and analytics platform

Features

• Comprehensive Tableau API coverage
• Multiple authentication methods
• Enterprise-ready with rate limiting
• Full error handling and retry logic
• Async support for better performance

Installation

pip install tableau-mcp-server

Or install from source:

git clone https://github.com/asklokesh/tableau-mcp-server.git
cd tableau-mcp-server
pip install -e .

Configuration

Create a .env file or set environment variables according to Tableau API requirements.

Quick Start

from tableau_mcp import TableauMCPServer

# Initialize the server
server = TableauMCPServer()

# Start the server
server.start()

License

MIT License - see LICENSE file for details