How to Use the Looker (Business Intelligence & Data) MCP in Mastra AI

Q: Is Looker (Business Intelligence & Data) compatible with Mastra AI branching?

Absolutely. You can use the output from listdashboards to trigger different logic branches in your agent. It allows for sophisticated, data-driven automation patterns.

Build complex BI automation workflows in Mastra AI using the Looker (Business Intelligence & Data) MCP Server.

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Connect Looker (Business Intelligence & Data) MCP to Mastra AI

Create your Vinkius account to connect Looker (Business Intelligence & Data) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Looker (Business Intelligence & Data) with Mastra AI

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Automated BI report execution

Trigger `run_inline_query` within your Mastra agent workflows to automate data retrieval. You can build conditional logic that fires a query only when specific business thresholds are hit. It handles the execution cycle and returns the structured data to your agent for immediate processing. This keeps your automated pipelines running on the latest BI metrics.

Multi-step dashboard investigation

Chain `list_dashboards` and `get_dashboard` to allow your agents to audit your BI environment autonomously. The agent can traverse your folder structure to identify the right reports for a given task. This workflow allows your agent to adapt to changes in your dashboard organization. It doesn't rely on hardcoded IDs, making your automation resilient to environment updates.

Resilient asset management

Use `search_content` to find Looker assets across your instance and verify them with `list_looks`. Your agents can audit your BI library and report on missing or outdated metrics. This capability ensures that your autonomous workflows rely on valid, current definitions. It removes the risk of agents referencing stale or deprecated data objects.

Setup guide

Set up Looker (Business Intelligence & Data) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Looker (Business Intelligence & Data) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "looker-business-intelligence-data-mcp-client",
  servers: {
    "looker-business-intelligence-data-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Looker (Business Intelligence & Data) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Looker (Business Intelligence & Data) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Looker (Business Intelligence & Data) transactions"
);
console.log(result.text);

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Common questions about Looker (Business Intelligence & Data) MCP in Mastra AI

You add the server URL to your agent configuration and spread the result of `listTools` into the agent's tool set. Mastra then manages the execution and retry logic automatically.

Yes. You can implement exponential backoff policies in your workflow definition for any `run_inline_query` call. This ensures your BI data pipeline stays active even if the API experiences transient issues.

Absolutely. You can use the output from `list_dashboards` to trigger different logic branches in your agent. It allows for sophisticated, data-driven automation patterns.

The agent state is persisted independently of the tool execution. You can inspect the logs to see exactly where the Looker tool call failed and retry from that specific step.

Your credentials never leave the secure environment. The server uses an ephemeral token provided by the Vinkius platform to gate access, ensuring your dashboard metadata remains private.

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