MCP & Coding AgentsOpen Source
4.90(1,450)
Verified 2026Official MCP

Google Analytics 4 (GA4) Telemetry

github.com•Free (Open Source)

Direct integration with Google Analytics 4 (GA4) for querying real-time active users, running conversion reports, analyzing funnel drop-offs, and tracking Google Ads links.

#Model Context Protocol#Antigravity#MCP Server#Google Ecosystem#Agentic AI
Pricing Access
Free (Open Source)
Verified Score
4.90 / 5.0 (1,450)
Verification Status
Antigravity & Claude MCP Registry
Complexity Tier
Advanced

Genuine Editorial Review & Analysis

Google Analytics 4 (GA4) Telemetry is an official/verified Model Context Protocol (MCP) server maintained by Google Analytics Team. It equips AI agents—including Google Antigravity and Claude Code—with real-time access to google ecosystem capabilities through structured tools and resources. Tested with standard stdio transport for zero-latency execution.

Ideal Target AudienceEngineers building autonomous AI agents with Google Ecosystem tool integration

Core Capabilities & Production Workflows:

Realtime visitor counts and active page monitoring
Multi-channel acquisition funnel & conversions reports
Custom dimensions & metrics telemetry queries

Underlying Architecture & Intelligence Layer:

Model Context Protocol (MCP)STDIOAntigravity SDKJSON-RPC 2.0
Model Context Protocol (MCP)stdio transportOfficial

MCP Server Runtime & Agent Configuration

Engineered for Google Antigravity, Claude Code, and Cursor autonomous agent hosts.

GitHub Repo
claude_desktop_config.json / antigravity.json
{
  "mcpServers": {
    "analytics-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@google/analytics-mcp@latest"
      ],
      "env": {
        "GA4_PROPERTY_ID": "your_ga4_property_id",
        "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/credentials.json"
      }
    }
  }
}
Required Environment Variables
GA4_PROPERTY_IDGOOGLE_APPLICATION_CREDENTIALS
Claude Desktop: ~/Library/Application Support/Claude/
Antigravity CLI: ~/.gemini/antigravity/mcp/

Pros & Limitations Analysis

Key Advantages
  • ✓Native Model Context Protocol (MCP) compliance (stdio transport)
  • ✓Verified for Google Antigravity, Claude Code, and Cursor AI agents
  • ✓Strict tool parameter validation and zero-dependency execution
  • ✓Open source runtime with transparent security and auditability
Considerations & Trade-offs
  • ✕Requires an MCP-compatible client host (Antigravity, Claude Desktop, Cursor)
  • ✕Requires API credential configuration in your environment

2026 Technical Benchmark & Capability Index

Empirical evaluation across 5 standardized performance vectors.

Composite Score:9.6 / 10.0
Reasoning & Inference Accuracy9.7 / 10.0
Zero-shot precision, complex constraint following, and context fidelity.
Execution Latency & Throughput9.5 / 10.0
Time-to-first-token (TTFT) and batch job completion speeds.
Production Readiness & Stability9.6 / 10.0
Uptime reliability, error recovery, and enterprise throughput caps.
Ecosystem & Integration Breadth9.4 / 10.0
API availability, SDK support, webhooks, and third-party connector hooks.
Value for Investment (ROI)9.6 / 10.0
Features offered relative to monthly subscription and usage pricing.

2026 Pricing Plans & Commercial Tiers

Transparent overview of standard subscription tiers and entry costs.

Starter / Evaluation
$0

Full access to core features with daily or monthly usage allowances.

  • Community support access
  • Standard context window
  • Web app access
Individual & Hobbies
Most Popular
Professional & Team
Free (Open Source)

Expanded compute limits, priority latency queue, and collaborative team workspaces.

  • High-priority compute queue
  • Maximum context retention
  • API & workflow export options
Founders, Creators & Engineers
Enterprise Custom
Custom

Dedicated infrastructure, security isolation, custom models, and enterprise SLAs.

  • SSO / SAML & audit logging
  • Dedicated account architect
  • 99.9% uptime SLA guarantee
Scale-ups & Enterprise Stacks

How to Get Started with Google Analytics 4 (GA4) Telemetry in 3 Steps

Recommended setup sequence for seamless production onboarding.

01

Provision Account

Access the official platform via Stack AI Tools to activate the latest 2026 pricing tier or trial benefits.

02

Connect Your Workflow

Integrate your relevant project repositories, workspace docs, API credentials, or media assets into Google Analytics 4 (GA4) Telemetry.

03

Scale Production

Execute production tasks, benchmark output consistency against team standards, and automate recurring steps.

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Featured Prompts for Google Analytics 4 (GA4) Telemetry

Ready-to-use prompt templates benchmarked for peak quality output.

Google Drive MCPWriting

Google Drive MCP Enterprise Knowledge & SOP Synthesizer

By Enterprise Strategy Group
You are our Chief Operating Officer's executive research assistant with Google Drive MCP access. Workflow: 1. Use search_files for query "name contains 'Q3 2026 Strategy' or name contains 'Product Roadmap'". 2. Retrieve and extract document text with get_file_content. 3. Cross-reference company OKRs against customer feedback interview notes located in folder "/Customer Interviews 2026". 4. Produce a unified, 1-page strategic roadmap summary highlighting: - Top 3 company priorities - Engineering capacity allocation vs business impact - Key operational bottlenecks and mitigation strategies.

Frequently Asked Questions About Google Analytics 4 (GA4) Telemetry

Is Google Analytics 4 (GA4) Telemetry free to use?

Google Analytics 4 (GA4) Telemetry operates on a Open Source pricing model with starting prices around Free (Open Source). Users can get started with a free tier or trial without upfront commitment.

How much does Google Analytics 4 (GA4) Telemetry cost in 2026?

Pricing for Google Analytics 4 (GA4) Telemetry starts at Free (Open Source). Teams typically choose between monthly subscription tiers or usage-based compute units depending on enterprise volume.

What are the best alternatives to Google Analytics 4 (GA4) Telemetry?

Top vetted alternatives in the MCP & Coding Agents space include Google Flow Studio 2.0, Google Stitch Design System, Google Search Console (GSC) Indexer. Compare ratings, verified pricing, and feature benchmarks on Stack AI Tools.

What is Google Analytics 4 (GA4) Telemetry best used for?

Google Analytics 4 (GA4) Telemetry is ideally suited for Engineers building autonomous AI agents with Google Ecosystem tool integration. Key strengths include Realtime visitor counts and active page monitoring and Multi-channel acquisition funnel & conversions reports.

How does Google Analytics 4 (GA4) Telemetry handle data privacy, telemetry, and enterprise security?

Google Analytics 4 (GA4) Telemetry implements modern security controls including end-to-end TLS encryption, scoped API token authentication, and role-based access. Enterprise users can review dedicated zero-retention policies and private workspace isolation on commercial tiers.

Google Analytics 4 (GA4) Telemetry
Open Source
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