# Tableau integrations

> Call the Tableau API from any Tray.ai workflow with the HTTP Connector.

**Canonical page:** https://tray.ai/connectors/tableau-integrations/
**Categories:** Data and analytics
**Connects through:** HTTP Connector

## Overview

Tableau is a data visualization and analytics platform where teams publish workbooks, dashboards, and data sources to Tableau Cloud or Tableau Server. Tray.ai connects to Tableau through the HTTP Connector, so your workflows can call the Tableau API alongside the rest of your stack.

## Use cases

### Workbooks

Read and create workbooks in Tableau from any Tray.ai workflow. The Tableau API covers calls such as publish a workbook and get workbook revisions.

- Publish a workbook
- Get workbook revisions
- List workbook permissions

### Data sources

Read and delete data sources in Tableau from any Tray.ai workflow. The Tableau API covers calls such as query data sources and publish a data source.

- Query data sources
- Publish a data source
- Refresh a data source

### Users and groups

Read and create users and groups in Tableau from any Tray.ai workflow. The Tableau API covers calls such as list users on a site and add a user to a site.

- List users on a site
- Add a user to a site
- Create a group

### Projects

Create, update, and delete projects in Tableau from any Tray.ai workflow. The Tableau API covers calls such as create a project and query projects.

- Create a project
- Query projects
- Update a project

### Jobs

Delete jobs in Tableau from any Tray.ai workflow. The Tableau API covers calls such as query jobs and cancel a job.

- Query jobs
- Cancel a job
- Run an extract refresh task

### Webhooks

Read, create, update, and delete webhooks in Tableau from any Tray.ai workflow. The Tableau API covers calls such as create a webhook and list webhooks.

- Create a webhook
- List webhooks
- Update a webhook

## Challenges Tray.ai solves

### Keeping Tableau credentials out of logs

A raw API call usually means pasting a key or token into the request, where it ends up in step inputs, logs, and screenshots.

**How Tray.ai helps:** Store Tableau credentials once as a Tray.ai authentication and reference them from the HTTP Connector. Tray.ai masks authentication values in logs, so the secret never shows up in a step's input or output.

### Going from the Tableau API docs to a working call

Translating an example request from API docs into a workflow step means copying the method, URL, headers, and body by hand.

**How Tray.ai helps:** Paste a cURL example from the Tableau API docs into the HTTP Connector and Tray.ai fills in the method, URL, headers, and body for you.

### Handling files and non-JSON responses

Not every API answers in JSON. Some return XML, files, or binary data, or expect a multipart upload.

**How Tray.ai helps:** The HTTP Connector parses JSON and XML responses, returns files you can pass to the next step, and sends multipart form data for uploads.

## Frequently asked questions

### Does Tray.ai connect to Tableau?

Yes. Tray.ai connects to Tableau through the HTTP Connector, which calls the Tableau API directly. Any call the Tableau API documents can run as a step in a Tray.ai workflow.

### How does Tray.ai authenticate with Tableau?

The Tableau API uses an API key in a request header. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.

### Can I get a dedicated Tableau connector?

Tableau runs through the HTTP Connector rather than a dedicated connector. If your team wants one, the Tray.ai connector SDK can build a dedicated Tableau connector from the Tableau API.

## Learn more

- Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/
- Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/
- Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/
- Book a demo: https://tray.ai/contact/