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CLI for Tableau Server/Cloud, designed for AI agent integration

Project description

tableau-cli

A command-line interface for Tableau Server / Tableau Cloud, designed for AI agent integration. All output is structured JSON to stdout, with agent-friendly error messages that include actionable hints.

Why CLI over MCP?

MCP (Model Context Protocol) servers continuously occupy agent context. A CLI tool follows a simpler call-execute-exit pattern — the agent invokes a command, reads the JSON output, and moves on. This project provides the same capabilities as the tableau-mcp server with behavioral alignment in data transformations, error handling, and output structures.

Quick Start

Prerequisites

Install

git clone <repo-url>
cd tableau-cli
pip install -e .

# Optional: install conversion dependencies (TDSX/HYPER → Parquet/CSV)
pip install -e ".[convert]"

Configure

# Option 1: CLI config (saved to ~/.tableau-cli.json)
tableau-cli config set \
  --server https://your-tableau-server.com \
  --site-name YourSite \
  --pat-name your-token-name \
  --pat-value your-token-value

# Option 2: Environment variables
export SERVER=https://your-tableau-server.com
export SITE_NAME=YourSite
export PAT_NAME=your-token-name
export PAT_VALUE=your-token-value

Environment variables take precedence over the config file. siteName defaults to "" (the default site) if not set.

# Verify configuration
tableau-cli config show

Commands

Search

Search across all content types (workbooks, views, datasources, etc.).

tableau-cli search "Superstore"
tableau-cli search "Sales" --type workbook,view
tableau-cli search "Revenue" --limit 10 --order-by hitsTotal:desc

Datasources

# List all datasources
tableau-cli datasources list
tableau-cli ds list --filter "name:has:Sales" --limit 50

# Download datasource file (.tdsx)
tableau-cli datasources download <datasourceId> -o ./data/

# Get field metadata (VizQL Data Service + Metadata API enrichment)
tableau-cli datasources metadata <luid>

# Query datasource data (VizQL Data Service)
tableau-cli datasources query <luid> --query '{"fields": [{"fieldCaption": "Category"}, {"fieldCaption": "Sales"}]}'
tableau-cli ds query <luid> --query '{"fields": [...]}' --limit 100

Views

# List views
tableau-cli views list
tableau-cli views list --filter "name:has:Dashboard" --format table

# Get view data as CSV
tableau-cli views data <viewId>

# Download view image
tableau-cli views image <viewId> -o dashboard.png
tableau-cli views image <viewId> --width 1200 --height 800 --img-format SVG -o dashboard.svg

Convert

Convert Tableau TDSX/HYPER files to Parquet or CSV. Requires pip install tableau-cli[convert].

# Convert TDSX to Parquet (default)
tableau-cli convert data.tdsx
tableau-cli convert data.tdsx -o ./output/

# Convert to CSV
tableau-cli convert data.tdsx --to csv
tableau-cli convert data.tdsx --to csv -o ./output/

# Convert standalone HYPER file
tableau-cli convert extract.hyper --to csv -o ./output/result.csv

Workbooks

# List workbooks
tableau-cli workbooks list
tableau-cli wb list --filter "name:eq:Finance" --format table

# Get workbook details (includes views with usage statistics)
tableau-cli workbooks get <workbookId>

Config

tableau-cli config set --server https://tableau.example.com
tableau-cli config show

Output

All commands output structured JSON to stdout by default. Use --format table for human-readable table output.

# JSON (default, for agent consumption)
tableau-cli ds list

# Table (for human reading)
tableau-cli ds list --format table

File Output

Commands that save files (ds download, views image -o, convert) output a JSON object with the file path to stdout, enabling agents to chain operations:

# Download and convert pipeline
tableau-cli ds download <id> -o ./data/        # → {"filePath": ".../data.tdsx"}
tableau-cli convert ./data/data.tdsx -o ./data/ # → {"filePath": ".../data.parquet"}

Error Output

Errors are also structured JSON, designed to guide agents toward resolution:

{
  "isError": true,
  "errorType": "feature-disabled",
  "message": "The VizQL Data Service is disabled on this Tableau Server.",
  "hint": "To enable it, use TSM using the instructions at https://help.tableau.com/..."
}

Error types include: authentication-error, feature-disabled, tableau-api-error, config-error, validation-error, and translated VDS error codes with actionable hints.

API Coverage

Area APIs Used
Authentication REST API v3.24 — PAT sign-in / sign-out
Datasources REST API (list, download) + VizQL Data Service (metadata, query) + Metadata API (GraphQL enrichment)
Views REST API (list, data, image)
Workbooks REST API (list, get with view enrichment)
Search Content Exploration API
Convert Local file conversion: TDSX/HYPER → Parquet/CSV (optional dependencies)

Development

# Run directly
python -m tableau_cli.cli views list

# Install in editable mode
pip install -e .

Acknowledgements

This project is derived from @tableau/mcp-server, adapting its Tableau REST API, VizQL Data Service, and Metadata API integrations into a CLI format.

License

Apache License 2.0

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