How to Use the Google Analytics MCP in VS Code Copilot

Q: Can VS Code Copilot query real-time Google Analytics data?

Yes, the agent runs runrealtimereport to fetch active user counts and page views from the last hour. This is useful for monitoring live deployments directly from your editor.

Q: Can I inspect custom dimensions with this setup?

Yes, the getmetadata tool pulls all custom dimensions and metrics configured on your property. The agent uses this list to write accurate queries.

Share Google Analytics configurations across your team and query live metrics directly from VS Code Copilot.

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Connect Google Analytics MCP to VS Code Copilot

Create your Vinkius account to connect Google Analytics to VS Code Copilot 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 with VS Code Copilot

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Share team-wide Google Analytics MCP Server setups

The `list_properties` tool lets your development team view all accessible GA4 properties directly inside VS Code Copilot. By committing the configuration to your repository, every engineer gets immediate access to the same analytics endpoints. This standardizes how your team queries marketing data across different branches. Your agent uses these shared endpoints to fetch real data for local testing. This setup ensures everyone on the team uses identical property IDs when writing reporting features.

Automate report generation in chat

The `batch_run_reports` tool retrieves multiple analytics reports in a single query directly inside your chat panel. Your team can run complex comparative analyses without logging into the web interface. The agent processes the combined JSON response and formats it into clean markdown tables instantly. If a query fails, the `check_compatibility` tool helps your team troubleshoot by identifying conflicting dimensions. This keeps your development pipeline moving without manual debugging.

Extract audience lists and user data

The `get_audience_export` tool tracks the progress of user list extractions for your marketing campaigns directly from the editor. Your agent polls the export status and alerts you when the list is ready for use. This integration keeps your deployment and marketing workflows in one place. For deep-dive debugging, the `get_user_activity` tool pulls chronological event histories for specific user IDs. This helps your team trace conversion issues reported by support without leaving your development environment.

Setup guide

Set up Google Analytics MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Google Analytics MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Google Analytics tools listed. Try asking: "List my recent Google Analytics transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "google-analytics-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Google Analytics MCP in VS Code Copilot

You create a configuration file in your workspace directory and commit it to git. Anyone opening the workspace with VS Code Copilot can immediately use the analytics tools.

Yes, the agent runs `run_realtime_report` to fetch active user counts and page views from the last hour. This is useful for monitoring live deployments directly from your editor.

Our team uses this MCP Server to combine multiple queries into a single payload using `batch_run_reports`. This minimizes API calls and protects your daily token limits during team-wide testing.

Yes, the `get_metadata` tool pulls all custom dimensions and metrics configured on your property. The agent uses this list to write accurate queries.

All user IDs and tracking metrics are processed through the Vinkius MCP sandbox. No raw analytics data is stored on external servers, keeping your customer tracking compliant with privacy policies.

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