Summary
Connects your AI assistant to Tableau's REST API for managing dashboards, workbooks, and data sources programmatically. The server wraps Tableau's API with multiple authentication options and includes rate limiting and retry logic for production use. Reach for this when you need to automate Tableau operations like publishing workbooks, managing permissions, or querying metadata about your visualizations through conversational interfaces. Built in Python with async support, it's designed for enterprise environments where you're already running Tableau Server or Tableau Cloud and want LLMs to interact with your analytics infrastructure without building custom integrations from scratch.
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one prompt install →Tableau MCP Server
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
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one prompt install →Configuration
TABLEAU_API_KEY*secretAPI Key for TABLEAU
TABLEAU_API_URLAPI URL for TABLEAU
Categories
Registryactive
Packagetableau-mcp-server
TransportSTDIO
AuthRequired
UpdatedDec 31, 2025
