Connect to AI series · Part 20 of 58
Looker is where teams define metrics, build dashboards, and explore data. When you need a number mid-conversation, you open Looker, find the right dashboard or explore, filter it, read the result, switch back. For teams with dozens of dashboards and hundreds of explores, finding the right metric interrupts flow.
With an MCP server pointed at Looker, AI agents can query your BI layer directly. Check dashboard values, browse explores, pull metric definitions without leaving your terminal.
Once connected, Claude, Cursor, or Codex can:
You're browsing the Looker web interface, not sharing API credentials. DataFaucet captures HTTP interactions from the web UI. Your Looker permissions stay in your browser session.
"What dashboards are in the Sales folder?"
"What's the current value on the daily active users tile?"
"What dimensions and measures are in the orders explore?"
"How is the net revenue retention metric defined?"
"What's the conversion rate from the marketing dashboard?"DataFaucet connects through the Looker web interface. Access is scoped to whatever your Looker permissions allow. If you only have access to certain models and explores, the MCP server has the same constraints. No API keys or client secrets stored separately.
Open Looker in your browser, copy the instance URL. Paste it into DataFaucet, browse through dashboards and explores. Deploy. Your agents can now query BI metrics from your terminal.
Create your Looker MCP server in 60 seconds.
Try with Looker →Point DataFaucet at Looker and get a working server in 60 seconds.
Create Looker server free →After creating, add to Claude Desktop:
"looker": {
"url": "https://datafaucet.dev/api/mcp/YOUR_ID/sse"
}Free plan includes 3 servers. Upgrade to Pro for unlimited →
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