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Google Analytics MCP Server for Cline 12 tools — connect in under 2 minutes

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Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Google Analytics through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.

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Classic Setup·json
{
  "mcpServers": {
    "google-analytics": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Google Analytics
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 MCP Server

Connect your Google Analytics 4 (GA4) account to any AI agent and take full control of web and app analytics through natural conversation.

Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Google Analytics tool calls without waiting for prompts between steps. Connect 12 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.

What you can do

  • Custom Reports — Run reports with any combination of metrics (activeUsers, screenPageViews, sessions, eventCount) and dimensions (city, country, deviceCategory, channel grouping)
  • Realtime Data — Monitor what's happening on your site right now with live user counts, events, and traffic sources from the last 30-60 minutes
  • Batch Reports — Execute multiple report configurations in a single API call for efficient dashboard loading
  • Metadata Discovery — List all available metrics and dimensions for your property, including custom definitions
  • Compatibility Checks — Validate metric/dimension combinations before running reports to avoid errors
  • Audience Exports — List and monitor audience export jobs for user segmentation and activation
  • User Activity — Retrieve event history for specific users for journey analysis and support investigations
  • Funnel Analysis — Visualize user progression through conversion steps and identify drop-off points

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

How to Connect Google Analytics to Cline via MCP

Follow these steps to integrate the Google Analytics MCP Server with Cline.

01

Open Cline MCP Settings

Click the MCP Servers icon in the Cline sidebar panel

02

Add remote server

Click "Add MCP Server" and paste the configuration above

03

Enable the server

Toggle the server switch to ON

04

Start using Google Analytics

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

Why Use Cline with the Google Analytics MCP Server

Cline provides unique advantages when paired with Google Analytics through the Model Context Protocol.

01

Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts

02

Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window

03

Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation

04

Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing

Google Analytics + Cline Use Cases

Practical scenarios where Cline combined with the Google Analytics MCP Server delivers measurable value.

01

Autonomous feature building: tell Cline to fetch data from Google Analytics and scaffold a complete module with types, handlers, and tests

02

Codebase refactoring: use Google Analytics tools to validate live data while Cline restructures your code to match updated schemas

03

Automated testing: Cline fetches real responses from Google Analytics and generates snapshot tests or mocks based on actual payloads

04

Incident response: query Google Analytics for real-time status and let Cline generate hotfix patches based on the findings

Google Analytics MCP Tools for Cline (12)

These 12 tools become available when you connect Google Analytics to Cline via MCP:

01

batch_run_reports

Provide property_id and an array of report configurations. Each report can have different metrics, dimensions, and date ranges. This is efficient for dashboard loading or comparative analysis. The reports parameter should be a JSON array of report objects with metrics, dimensions, and dateRanges. Run multiple reports in a single API call

02

check_compatibility

Before running complex reports, use this to ensure compatibility between your chosen metrics and dimensions. This prevents errors and wasted API calls. Provide property_id and the metrics/dimensions you plan to use. Returns compatibility status and any conflicts that would prevent the report from running successfully. Check if metrics and dimensions can be combined in a report

03

get_audience_export

Audience exports allow you to extract user lists matching specific audience criteria. Use this to monitor the progress of audience extraction jobs. Provide property_id and the audience_export_id from list_audience_exports. Get status of a specific audience export

04

get_metadata

This includes both standard and custom metrics/dimensions with their descriptions, types, and compatibility information. Use this to discover what data is available before building reports. The propertyId is required and can be found in your GA4 admin settings. Get available metrics and dimensions for a GA4 property

05

get_property

Use the property_id obtained from list_properties to inspect property configuration. Get detailed information about a specific GA4 property

06

get_user_activity

This shows all interactions a user has had with your property, including pageviews, events, and conversions. Use this for user-level analysis, journey mapping, or support investigations. The userId must match the one sent with your tracking events. Get activity history for a specific user

07

list_accounts

This is the top-level container for properties. Each account can contain multiple properties. Use this to discover what accounts are available before drilling down into properties. List all Google Analytics accounts accessible to the user

08

list_audience_exports

Audience exports are used to extract user lists matching specific audience criteria for activation in other platforms. Shows status (CREATING, ACTIVE, FAILED) and configuration of each export job. List all audience export jobs for a property

09

list_properties

Properties represent individual websites, apps, or measurement streams. Each property has a unique ID needed for running reports. Use this to find the correct property_id for report queries. List all GA4 properties in an account

10

run_funnel_report

This helps identify where users drop off in conversion paths like checkout flows or signup processes. Provide property_id and a funnelSpec object defining the steps and breakdown settings. The funnelSpec should be a JSON object with steps array containing stepName, filterExpression, and optional breakdown settings. Run a funnel analysis report

11

run_realtime_report

Unlike standard reports, this shows what's happening on your site/app right now. Provide property_id and the metrics/dimensions you want to monitor in realtime. Common realtime metrics: activeUsers, eventCount, screenPageViews. Common realtime dimensions: city, country, deviceCategory, streamId. Get realtime analytics data (last 30-60 minutes)

12

run_report

You must provide the property_id, metrics (e.g., 'activeUsers', 'screenPageViews', 'eventCount'), and dimensions (e.g., 'city', 'pageTitle', 'sessionDefaultChannelGrouping'). Date ranges use YYYY-MM-DD format. Optional filter expression can narrow results. Common metrics: activeUsers, screenPageViews, sessions, eventCount, engagementRate, averageSessionDuration. Common dimensions: city, country, deviceCategory, sessionDefaultChannelGrouping, pageTitle, pagePath. Run a custom Google Analytics report

Example Prompts for Google Analytics in Cline

Ready-to-use prompts you can give your Cline agent to start working with Google Analytics immediately.

01

"Show me the number of active users and pageviews by country for the last 7 days for property 123456789."

02

"What's happening on the site right now? Show me realtime users by traffic source."

03

"Run a funnel analysis for our checkout flow: step 1 = viewed product, step 2 = added to cart, step 3 = started checkout, step 4 = completed purchase. Show me where users drop off."

Troubleshooting Google Analytics MCP Server with Cline

Common issues when connecting Google Analytics to Cline through the Vinkius, and how to resolve them.

01

Server shows error in sidebar

Click the server name to see logs. Verify the URL and token are correct.

Google Analytics + Cline FAQ

Common questions about integrating Google Analytics MCP Server with Cline.

01

How does Cline connect to MCP servers?

Cline reads MCP server configurations from its settings panel in VS Code. Add the server URL and Cline discovers all available tools on initialization.
02

Can Cline run MCP tools without approval?

By default, Cline asks for confirmation before executing tool calls. You can configure auto-approval rules for trusted servers in the settings.
03

Does Cline support multiple MCP servers at once?

Yes. Configure as many servers as needed. Cline can use tools from different servers within the same autonomous task execution.

Connect Google Analytics to Cline

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.