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Google Analytics 4 MCP Server for VS Code CopilotGive VS Code Copilot instant access to 12 tools to Batch Run Reports, Check Compatibility, Get Conversions, and more

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Ask AI about this App Connector for VS Code Copilot

The Google Analytics 4 app connector for VS Code Copilot is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Google Analytics 4 and 3,400+ MCP Servers from a single visual interface.

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Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "google-analytics-4": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Google Analytics 4
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Google Analytics 4 MCP Server

Connect your Google Analytics 4 property to any AI agent and access web analytics through natural conversation.

GitHub Copilot Agent mode brings Google Analytics 4 data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Custom Reports — Run fully customizable GA4 reports with any combination of dimensions, metrics, and date ranges
  • Real-Time Analytics — Monitor active users and current page views in real time
  • Page Performance — Retrieve the top 25 pages ranked by views for any time period
  • Traffic Sources — Analyze session sources and mediums to understand where visitors come from
  • User Demographics — View user distribution by country for geographic insights
  • Device Breakdown — See user distribution across desktop, mobile, and tablet
  • Conversions — Track conversion events with counts and revenue data
  • Advanced Reporting — Run pivot reports and batch multiple reports in a single request
  • Metadata & Compatibility — List all available dimensions and metrics, and verify compatibility before building reports

The Google Analytics 4 MCP Server exposes 12 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Google Analytics 4 tools available for VS Code Copilot

When VS Code Copilot connects to Google Analytics 4 through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, event-tracking, conversion-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

batch_run_reports

Batch run reports

check_compatibility

Check report compatibility

get_conversions

Get conversions

get_device_breakdown

Get device breakdown

get_metadata

Get available dimensions and metrics

get_page_views

Get top pages by views

get_traffic_sources

Get traffic sources

get_user_demographics

Get user demographics

list_audience_exports

List audience exports

run_pivot_report

Run pivot report

run_realtime_report

Run realtime report

run_report

Data JSON must include dateRanges, dimensions, and metrics arrays. Run a custom report

Connect Google Analytics 4 to VS Code Copilot via MCP

Follow these steps to wire Google Analytics 4 into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Google Analytics 4

Ask Copilot: "Using Google Analytics 4, help me...". 12 tools available

Why Use VS Code Copilot with the Google Analytics 4 MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Google Analytics 4 through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Google Analytics 4 + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Google Analytics 4 MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Google Analytics 4 in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Google Analytics 4 immediately.

01

"Show me the top 10 pages by views this month and where the traffic is coming from."

02

"How many conversions did we get this week and which pages drove them?"

03

"What devices are our users on and which countries are generating the most traffic?"

Troubleshooting Google Analytics 4 MCP Server with VS Code Copilot

Common issues when connecting Google Analytics 4 to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Google Analytics 4 + VS Code Copilot FAQ

Common questions about integrating Google Analytics 4 MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.