Tableau Connector for AI agents.
7 live capabilities
Query business intelligence dashboards and monitor data health.
Waiting for input…
Why people use Tableau
Tableau for Solving BI Data Freshness Issues
This Connector lets your AI agent do the heavy lifting for you. Instead of hunting through the portal and clicking through nested menus, you can just ask your agent to find a workbook or tell you which data sources are stale. You get a direct answer in your chat window instead of a dozen open tabs.
What Vinkius changes
You get a text based way to manage and query your Tableau metadata.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking for failed data refreshes
A BI admin needs to know why a dashboard is showing old data and uses list_jobs to check for failed refreshes.
- Real-world use case 02
Finding a lost sales report
A data analyst can't find a specific workbook and asks the agent to list_workbooks in the marketing project.
- Real-world use case 03
Auditing site permissions
A data engineer needs to audit connections and uses list_users to see who has access to specific site resources.
Complete set · 7capabilities
The complete Tableau capability set.
These are the exact actions your AI can choose when you ask it to work with Tableau.
01—04
4 capabilities in this set.
Part of 7 available through Tableau.
- 01 Capability
List datasources
See a list of all published data sources and their current freshness. This helps you quickly identify which data sets are up to date.
- 02 Capability
List projects
View all projects organized within your specific site. It makes navigating your site hierarchy much faster.
- 03 Capability
List users
Get a complete list of users and their roles within the site. This is great for auditing permissions.
- 04 Capability
List jobs
Monitor background tasks and extract refresh jobs in real time. You can check for failures without opening the management console.
05—07
3 capabilities in this set.
Part of 7 available through Tableau.
- 05 Capability
List workbooks
Pull a full list of workbooks available in your environment. It helps you find specific content without manual searching.
- 06 Capability
Get workbook
Retrieve specific metadata and details for a single workbook. Use this to get deep insights into a specific report.
- 07 Capability
List views
Query all dashboards and views across your site. This lets you see every visual output available to your team.
Set up in minutes
One URL. Then ask Tableau to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Tableau from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_o9CW6FXi4IZylU3KiijspC81bIXmrbv7XY73nhbX/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Tableau, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Tableau for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_o9CW6FXi4IZylU3KiijspC81bIXmrbv7XY73nhbX/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Tableau URL.
- Step 03
Save and start
Save the connection and enable Tableau in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"tableau": {
"url": "https://edge.vinkius.com/vk_preview_o9CW6FXi4IZylU3KiijspC81bIXmrbv7XY73nhbX/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Tableau
Open Agent mode in chat and ask: "Using Tableau, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"tableau": {
"url": "https://edge.vinkius.com/vk_preview_o9CW6FXi4IZylU3KiijspC81bIXmrbv7XY73nhbX/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Tableau
Ask Copilot: "Using Tableau, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"tableau": {
"url": "https://edge.vinkius.com/vk_preview_o9CW6FXi4IZylU3KiijspC81bIXmrbv7XY73nhbX/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Tableau
Open Cascade and ask: "Using Tableau, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"tableau": {
"url": "https://edge.vinkius.com/vk_preview_o9CW6FXi4IZylU3KiijspC81bIXmrbv7XY73nhbX/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Tableau
Ask Cline: "Using Tableau, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add tableau --transport http "https://edge.vinkius.com/vk_preview_o9CW6FXi4IZylU3KiijspC81bIXmrbv7XY73nhbX/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Tableau
Ask Claude: "Using Tableau, show me...". 7 tools are ready
Where the request belongs
Work Tableau can move forward.
This is for the BI team members who are tired of manual navigation. It helps anyone who needs to monitor data health or audit site permissions without constantly logging into the dashboard portal.
BI Admin
Monitors extract refresh jobs and checks data source freshness to ensure the team has accurate data.
Data Analyst
Finds specific workbooks and dashboards across complex project hierarchies without manual searching.
Data Engineer
Audits data source connections and monitors background tasks to maintain system health.
Executive
Asks the agent for quick summaries of available KPIs and dashboard views to stay informed.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Omni BI Intelligence
Interact with Omni BI dashboards, models, and data exports. run queries and track metrics directly from your AI agent.
Looker (Business Intelligence & Data)
Manage your BI environment via Looker. list dashboards, execute inline queries, and audit saved Looks.
Grid
Turn spreadsheet data into interactive dashboards and visual stories that make numbers accessible to every stakeholder.
Metabase (Business Intelligence & Analytics)
Manage your BI environment via Metabase. list dashboards, retrieve visual questions (cards), and search data entities.
Bring your own AI
Change the model, client or framework. Keep Tableau connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Tableau.
The practical details behind the request, access and result.
Can the Tableau MCP help me find specific dashboards?
Yes. It allows your AI agent to list all workbooks and views across your site, making it easy to find specific content without clicking through folders.
How do I check if my Tableau extracts failed using this Connector?
You can ask your agent to check the status of background jobs. It will report whether your extract refreshes succeeded or failed.
Can I use this to see who has access to my Tableau site?
Yes. The Connector can pull a list of all users and their roles, which is perfect for auditing permissions and site memberships.
Will the Tableau MCP show me my data sources?
It will list all your published data sources and provide details on their connection status and how recently they were refreshed.
Can I ask my AI agent to find workbooks in a specific project?
Absolutely. Your agent can navigate the site hierarchy to find and list workbooks within any specific project you name.
Does the Tableau MCP work with Tableau Cloud?
Yes, it is designed to connect to both Tableau Cloud and Tableau environments to give your agent access to your BI metadata.
What authentication does Tableau use?
Tableau uses Personal Access Tokens (PATs). Generate one in My Account Settings > Personal Access Tokens. You'll need the token name and token secret.
Can I get dashboard data through the agent?
Yes. The get_view_data capability retrieves the underlying data of any view/dashboard in CSV or JSON format.
Does it work with both Tableau Cloud and Server?
Yes. Set your server URL to either your Tableau Cloud pod (e.g. https://10ay.online.tableau.com) or your on-premise server URL.
One connection away
Give your agent a direct line to Tableau.
Connect Tableau once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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