Looker (Business Intelligence & Data) Connector for AI agents.
7 live capabilities
Query enterprise dashboards and audit business intelligence data in real time
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Why people use Looker (Business Intelligence & Data)
Looker for Business Intelligence Data Audit
This Connector lets your AI agent do that work for you. You can just ask where a report is or what filters are applied, and the agent will pull that info instantly. You get a direct line to your data without the UI friction.
What Vinkius changes
You get a natural language interface for your entire Looker BI environment.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding a specific report
A user asks for the Marketing ROI report.
- Real-world use case 02
Quick data verification
An analyst needs the total sales from yesterday.
- Real-world use case 03
Auditing permissions
A platform engineer needs to see all folders to check permissions and uses list_folders to get the hierarchy.
Complete set · 7capabilities
The complete Looker (Business Intelligence & Data) capability set.
These are the exact actions your AI can choose when you ask it to work with Looker (Business Intelligence & Data).
01—04
4 capabilities in this set.
Part of 7 available through Looker (Business Intelligence & Data).
- 01 Capability
List dashboards
List all dashboards in your Looker instance. This gives you a high-level view of your BI assets.
- 02 Capability
Get dashboard
Get the full configuration and query mapping for a specific dashboard ID. This helps you understand the underlying data logic.
- 03 Capability
List looks
List saved dataset mappings to see which Looks are being used across the company. This helps maintain consistency in reporting.
- 04 Capability
Get look
Retrieve the exact model mappings and filters for a specific Looker target object. This ensures you see the same data as your teammates.
05—07
3 capabilities in this set.
Part of 7 available through Looker (Business Intelligence & Data).
- 05 Capability
List folders
List the root folders to audit the organizational structure of your Looker tenant. This helps you see how your BI environment is organized.
- 06 Capability
Search content
Search through content metadata to find specific reports and datasets quickly. This saves you from clicking through nested folders.
- 07 Capability
Run inline query
Execute queries against models to fetch specific dimensions and measures dynamically. This lets you get quick answers without building a new report.
Set up in minutes
One URL. Then ask Looker (Business Intelligence & Data) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Looker (Business Intelligence & Data) 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_7GYsFGkWDDvJkEieZyfHjLVFx5i6WdJppAlMmeTx/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 Looker (Business Intelligence & Data), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Looker (Business Intelligence & Data) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7GYsFGkWDDvJkEieZyfHjLVFx5i6WdJppAlMmeTx/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 Looker (Business Intelligence & Data) URL.
- Step 03
Save and start
Save the connection and enable Looker (Business Intelligence & Data) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"looker-business-intelligence-data": {
"url": "https://edge.vinkius.com/vk_preview_7GYsFGkWDDvJkEieZyfHjLVFx5i6WdJppAlMmeTx/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 Looker (Business Intelligence & Data)
Open Agent mode in chat and ask: "Using Looker (Business Intelligence & Data), help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"looker-business-intelligence-data": {
"url": "https://edge.vinkius.com/vk_preview_7GYsFGkWDDvJkEieZyfHjLVFx5i6WdJppAlMmeTx/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 Looker (Business Intelligence & Data)
Ask Copilot: "Using Looker (Business Intelligence & Data), help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"looker-business-intelligence-data": {
"url": "https://edge.vinkius.com/vk_preview_7GYsFGkWDDvJkEieZyfHjLVFx5i6WdJppAlMmeTx/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 Looker (Business Intelligence & Data)
Open Cascade and ask: "Using Looker (Business Intelligence & Data), help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"looker-business-intelligence-data": {
"url": "https://edge.vinkius.com/vk_preview_7GYsFGkWDDvJkEieZyfHjLVFx5i6WdJppAlMmeTx/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 Looker (Business Intelligence & Data)
Ask Cline: "Using Looker (Business Intelligence & Data), help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add looker-business-intelligence-data --transport http "https://edge.vinkius.com/vk_preview_7GYsFGkWDDvJkEieZyfHjLVFx5i6WdJppAlMmeTx/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 Looker (Business Intelligence & Data)
Ask Claude: "Using Looker (Business Intelligence & Data), show me...". 7 tools are ready
Where the request belongs
Work Looker can move forward.
The data analyst tired of manual SQL exports, the business user who needs quick summaries without navigating complex UIs, and the platform engineer auditing permissions across multiple environments.
Data Analyst
Runs rapid inline queries to verify data points during meetings without building new reports.
Business User
Searches for specific reports and retrieves quick data summaries through a chat interface.
Platform Engineer
Audits content metadata and manages folder hierarchies across multiple Looker environments.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Manage your BI environment via Metabase. list dashboards, retrieve visual questions (cards), and search data entities.
Omni BI Intelligence
Interact with Omni BI dashboards, models, and data exports. run queries and track metrics directly from your AI agent.
Apache Superset
Connect your AI to Apache Superset. Explore BI dashboards, extract chart data, and run live SQL Lab analytics directly from your terminal.
Tableau
Access workbooks, views, data sources, and dashboard insights from Tableau. the enterprise BI and analytics platform.
Mode (Collaborative Data Platform)
Manage collaborative analytics via Mode. list data reports, explore organizational spaces, and audit data sources.
Bring your own AI
Change the model, client or framework. Keep Looker 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 Looker.
The practical details behind the request, access and result.
Can the Looker MCP find specific reports for me?
Yes, it uses search_content to scan your metadata and find dashboards or Looks based on your description.
Can I run queries through the Looker MCP?
Yes, you can use run_inline_query to fetch specific dimensions and measures from your models in real-time.
Does the Looker MCP help with auditing?
It allows you to use list_folders and get_dashboard to see the full structure and configuration of your BI environment.
Can I see how a saved Look is filtered?
Yes, the get_look capability retrieves the exact model mappings and filters applied to a specific Look object.
Can I use the Looker MCP to manage my folders?
You can use list_folders to see the hierarchy, but this Connector is for discovery and inspection rather than folder management.
How do I connect Looker to my AI agent?
You just need to provide your Looker Base URL, Client ID, and Client Secret in your Connector settings.
Can I run a dynamic query against a LookML model through my agent?
Yes. Use the run_inline_query capability by providing the model name, view, and specific fields. Your agent will execute the query securely and return up to 100 rows of data, perfect for rapid data validation.
How do I see the filters applied to a specific Looker dashboard?
The get_dashboard capability retrieves the complete configuration for a Dashboard UUID. Your agent will expose the applied filters, element layouts, and underlying query structures directly in your chat interface.
Can my agent help me find reports in my Looker account?
Absolutely. Use the search_content capability to perform a deep search across content metadata. Your agent will identify dashboards and looks matching your text query, helping you locate critical data assets instantly.
One connection away
Give your agent a direct line to Looker.
Connect Looker once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available