How to Use the Looker (Business Intelligence & Data) MCP in Claude Code

Q: How do I add Looker (Business Intelligence & Data) to Claude Code?

Run the command claude mcp add --transport http -- in your terminal. This registers the server and makes the tools available to your CLI agent.

Q: Where does Claude Code store my configuration?

Your server configuration is stored in /.claude.json. This file keeps your transport settings and endpoint information isolated to your local environment.

Claude Code brings BI data to your terminal. Run queries and audit reports via this MCP Server in your CI/CD pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Looker (Business Intelligence & Data) MCP to Claude Code

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

GDPR Free for Subscribers

Setup Looker (Business Intelligence & Data) with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Headless BI query execution

Claude Code uses `run_inline_query` to execute data requests directly from your shell. This allows you to integrate BI metrics into your CI/CD scripts or automated reporting pipelines without a GUI. The output is raw JSON, which you can pipe into other CLI tools or format for your logs. It provides a way to verify your business logic as part of your standard deployment process.

Automated dashboard auditing

Your terminal agent uses `list_dashboards` and `get_dashboard` to monitor the state of your BI environment. It checks for changes in dashboard structure and alerts you if a critical report configuration is modified. This is useful for maintaining consistency across large deployments. Claude Code can run these checks on a schedule, ensuring your production reports always match the expected schema.

Search and manage instance assets

Use `search_content` and `list_looks` to maintain an index of your BI assets from the command line. Claude Code navigates your folders using `list_folders` to provide a complete view of your data organization. It allows for rapid identification of specific looks that need updates or deletions. By interacting with the API directly, it handles large-scale management tasks that are too slow to perform manually.

Setup guide

Set up Looker (Business Intelligence & Data) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see looker-business-intelligence-data-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Looker (Business Intelligence & Data) transactions." It will automatically discover and invoke the available Looker (Business Intelligence & Data) tools.

Terminal

claude mcp add --transport http looker-business-intelligence-data-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Looker (Business Intelligence & Data) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "looker-business-intelligence-data-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Looker. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Looker (Business Intelligence & Data) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Looker (Business Intelligence & Data) MCP in Claude Code

Run the command `claude mcp add --transport http -- ` in your terminal. This registers the server and makes the tools available to your CLI agent.

Yes. Since Claude Code runs in the terminal, you can trigger `run_inline_query` from a shell script or cron job to automate your daily data reporting tasks.

It is designed for this purpose. You can use the agent to verify dashboard metadata during your build phase, ensuring your BI environment stays in sync with your codebase.

Your server configuration is stored in `~/.claude.json`. This file keeps your transport settings and endpoint information isolated to your local environment.

The server uses a zero-trust model where data requests are authenticated per command. It only retrieves the specific metadata you target, ensuring your BI environment remains isolated from unauthorized access.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript