How to Use the Google Analytics 4 MCP in Claude Code

Q: Does Claude Code support batching Google Analytics 4 requests?

It supports batchrunreports to reduce the number of API calls you make. This keeps you well within your quota limits during high-frequency tasks.

Claude Code for terminal analytics. Pipe Google Analytics 4 metrics directly into your shell scripts and CI pipelines.

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Connect Google Analytics 4 MCP to Claude Code

Create your Vinkius account to connect Google Analytics 4 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.

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Setup Google Analytics 4 with Claude Code

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Terminal-based Data Pipelines

Use `run_report` within your terminal to feed data into other CLI tools. Claude Code processes the JSON output so you can pipe it to `jq` or other processors. This is for engineers who need metrics in their shell. It treats your analytics like any other system log.

Headless Real-time Monitoring

The `run_realtime_report` tool enables your cron jobs to check for site health. Claude Code can alert you if traffic patterns deviate from your baseline. It runs entirely in the background. You define the thresholds, and the agent handles the rest of the execution.

Metadata and Schema Inspection

Quickly check what metrics are available with `get_metadata`. Claude Code uses this to ensure your shell scripts query the right dimensions for your property. You avoid broken queries by verifying the schema first. It keeps your pipeline stable and predictable.

Setup guide

Set up Google Analytics 4 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 google-analytics-4-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Google Analytics 4 transactions." It will automatically discover and invoke the available Google Analytics 4 tools.

Terminal

claude mcp add --transport http google-analytics-4-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 Google Analytics 4 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": {
    "google-analytics-4-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 Google Analytics 4. 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.

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Common questions about Google Analytics 4 MCP in Claude Code

Yes, the MCP Server is designed for headless environments. You can trigger reports during your build process to gate deployments based on traffic data.

Add the server to your configuration file with the required transport flags. Once connected, you can call tools directly from the command line.

It supports `batch_run_reports` to reduce the number of API calls you make. This keeps you well within your quota limits during high-frequency tasks.

The server uses standard authentication protocols. Your credentials never leave the local machine, and the traffic remains scoped to your property.

The server only reads traffic metrics and event counts. It does not have access to private user profiles or sensitive account-level configurations.

Use it with your favorite AI tools

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