Analytics MCP

Analytics MCP

Automates Google Analytics 4 and Google Tag Manager setup, management, and health monitoring with blueprints, multi-environment support, and MCP tools for AI agents.

Category
访问服务器

README

Analytics MCP

One-click GA4 + GTM analytics automation for developers, agencies, and AI agents.

Tests Python 3.11+ License: MIT

Automate Google Analytics 4 and Google Tag Manager setup, apply opinionated tracking blueprints, monitor health, and manage everything via CLI, REST API, MCP tools, or Web UI.

FeaturesQuickstartScreenshotsCLIMCPAPI


Features

Feature Description
GA4 Automation Create properties, web data streams, optional BigQuery export
GTM Automation Containers, GA4 config tags, event tags, publish & snippets
Tracking Blueprints SaaS, ecommerce, content, Web Vitals presets with dataLayer specs
Site Analyzer Playwright-based crawling — discover pages, group by business intent, identify tracking opportunities
GA4 Data Querying Schema discovery + natural language queries (like surendranb/google-analytics-mcp)
Consent Presets none, basic, and advanced consent-gated triggers
Multi-Environment Separate dev/stage/prod configurations
Governance Audit log, GTM diff, rollback
Health Monitoring Scheduled checks, webhook/email alerts, time-series charts
MCP Integration 10 tools for Claude, Gemini, and other MCP clients
Web Dashboard Create, monitor, and manage sites visually with charts
Security KMS/Secrets Manager support (AWS, GCP, Azure)
Reliability Automatic retry with exponential backoff for API calls

Competitive Landscape

How MCP Metrics Compares

Project Stars What They Do What MCP Metrics Adds
jtrackingai/analytics-tracking-automation 131 AI-powered GA4 + GTM event tracking with site analysis Full property/container lifecycle + governance + health monitoring + integrated dashboard
surendranb/google-analytics-mcp 222 GA4 data querying for AI agents (read-only) Write/setup side — create properties, GTM containers, blueprints via MCP
owntag/gtm-cli ~50 CLI for GTM API operations Full platform — GA4 + GTM + blueprints + UI + health + governance
google-marketing-solutions/web-vitals-gtm-template 42 GTM template for Core Web Vitals Integrated blueprint — Web Vitals as first-class tracking preset

Key Differentiators

vs jtrackingai/analytics-tracking-automation:

  • We have full GA4 property creation (they focus on event tracking within existing properties)
  • We have governance (audit logs, GTM diff, rollback)
  • We have health monitoring with time-series charts
  • We have integrated web dashboard (not just CLI skill)
  • We have consent management and cross-domain tracking

vs surendranb/google-analytics-mcp:

  • They are read/query only — GA4 data access for analysis
  • We are write/setup focused — create and configure GA4/GTM from scratch
  • Complementary pairing: Use MCP Metrics to set up tracking, use their server to query results

vs owntag/gtm-cli:

  • They provide low-level GTM API access
  • We provide high-level opinionated platform — one command for full setup
  • We add GA4 integration, blueprints, health monitoring, web UI

vs Web Vitals GTM Template:

  • They provide a GTM template gallery entry
  • We provide Web Vitals as a blueprint integrated into the full automation workflow
  • We include attribution data and debugging support in the dataLayer

Quickstart

Prerequisites

  • Docker & Docker Compose
  • Python 3.11+ (for local dev)
  • Google Cloud service account with GA4 Admin, GTM, and (optional) BigQuery permissions

1. Clone and configure

git clone https://github.com/abhishekshankar/MCP-Metrics.git
cd MCP-Metrics
cp config/env.example .env
# Edit .env with your GTM account ID and credentials path

2. Start services

docker compose up -d

API available at http://localhost:8000 — health check:

curl http://localhost:8000/health

3. Create your first site

pip install -e ".[dev]"
analytics-mcp create \
  --domain example.com \
  --name "Example Site" \
  --env prod \
  --blueprint saas \
  --pretty

4. Web UI

cd web-ui && npm install && npm run dev

Open http://localhost:5173


Screenshots

Dashboard

List all your analytics setups with health status at a glance.

┌─────────────────────────────────────────────────────────────┐
│  Sites Dashboard                                            │
├──────────────┬──────────┬─────┬──────────┬────────┬────────┤
│ Domain       │ Name     │ Env │ Blueprint│ GTM    │ Status │
├──────────────┼──────────┼─────┼──────────┼────────┼────────┤
│ example.com  │ Example  │ prod│ saas     │ GTM-ABC│ active │
│ shop.com     │ Shop     │ prod│ ecommerce│ GTM-DEF│ active │
│ blog.com     │ Blog     │ prod│ content  │ GTM-GHI│ active │
└──────────────┴──────────┴─────┴──────────┴────────┴────────┘

Site Detail with Health Charts

View detailed health metrics with time-series charts showing events, sessions, and conversions over time.

┌─────────────────────────────────────────────────────────────┐
│  example.com · prod                                         │
├─────────────────────────────────────────────────────────────┤
│  G-XXXXXXXX  │  GTM-XXXX  │  saas  │  healthy              │
├─────────────────────────────────────────────────────────────┤
│  Health Metrics (24h)                                         │
│  ┌─────────────────────────────────────────────────────────┐│
│  │  Events: 1,500  │  Sessions: 800  │  Conversions: 45  ││
│  └─────────────────────────────────────────────────────────┘│
│                                                             │
│  Health Trends (30 Days)                                    │
│  ═══════════════════════════════════════════════════════    │
│  ║  Chart: Events & Sessions over time                    ║    │
│  ║  Chart: Conversions bar chart                           ║    │
│  ═══════════════════════════════════════════════════════    │
│                                                             │
│  GTM Configuration Diff                                     │
│  ├─ Tags: +3 added, -1 removed                              │
│  ├─ Triggers: +2 added                                     │
│  └─ Variables: no changes                                  │
└─────────────────────────────────────────────────────────────┘

Blueprint Editor

View, edit, and create custom tracking blueprints with live validation.

┌─────────────────────────────────────────────────────────────┐
│  Blueprint Editor                                           │
│  [saas] [ecommerce] [content] [+ New Blueprint]             │
├─────────────────────────────────────────────────────────────┤
│  name: saas                                                 │
│  description: SaaS product site tracking                   │
│  events:                                                    │
│    - signup_started                                         │
│    - signup_completed                                       │
│    - trial_started                                          │
│    - pricing_view                                           │
│                                                             │
│  [Apply to Site]  [Save Changes]                            │
└─────────────────────────────────────────────────────────────┘

CLI Commands

Command Description
analytics-mcp create Full GA4 + GTM + blueprint setup
analytics-mcp status Get site status
analytics-mcp list List all sites
analytics-mcp apply-blueprint Apply/update blueprint
analytics-mcp health Run health check
analytics-mcp rollback Rollback GTM version
analytics-mcp describe Human-readable setup summary

MCP Client Setup

Claude Desktop

Copy config/mcp-claude.example.json into your Claude Desktop MCP config:

{
  "mcpServers": {
    "analytics": {
      "command": "python",
      "args": ["/path/to/analytics_mcp_mcp_server.py"],
      "env": {
        "DATABASE_URL": "postgresql://..."
      }
    }
  }
}

Available MCP Tools

Tool Description
Setup & Management
create_analytics_setup Create GA4 + GTM setup for a new site
get_analytics_status Get current status of a site's analytics
apply_tracking_blueprint Apply a tracking blueprint to a site
describe_analytics_setup Get human-readable description of setup
get_health_status Get health status with metrics
GA4 Data & Schema
search_ga4_schema Search dimensions/metrics by keyword (like surendranb/google-analytics-mcp)
list_dimension_categories List all GA4 dimension categories
list_metric_categories List all GA4 metric categories
get_dimensions_by_category Get dimensions organized by category
get_metrics_by_category Get metrics organized by category
query_ga4_data Query GA4 data with intelligent defaults and row estimation
Verification & Analysis
verify_gtm_preview Test GTM Preview mode — verify tags fire before publishing
analyze_site_structure Crawl site to discover pages and tracking opportunities

REST API

Core Endpoints

Method Endpoint Description
GET /health Service health
POST /sites Create site
GET /sites List sites
GET /sites/:domain Site status
POST /sites/:domain/blueprint Apply blueprint
GET /sites/:domain/health Health check
GET /sites/:domain/health/history Health history (charts data)
GET /sites/:domain/versions Blueprint version history
GET /sites/:domain/diff GTM config diff
POST /sites/:domain/rollback Rollback
GET /audit Audit log
POST /blueprints/:name Save custom blueprint
POST /sites/:domain/analyze Site analyzer — crawl and analyze site structure (Playwright)
POST /sites/:domain/verify-preview Preview verification — test GTM tags before publishing

OpenAPI docs: http://localhost:8000/docs

Authentication

Pass X-API-Key header with admin or readonly key (configured in .env):

curl -H "X-API-Key: admin-key-change-me" http://localhost:8000/sites

Architecture

┌─────────────┐  ┌─────────────┐  ┌─────────────┐
│    CLI      │  │   Web UI    │  │  MCP Client │
│   (Typer)   │  │  (React)    │  │   (FastMCP) │
└──────┬──────┘  └──────┬──────┘  └──────┬──────┘
       │                │                │
       └────────────────┼────────────────┘
                        │
              ┌─────────▼──────────┐
              │   FastAPI REST     │
              │  + MCP Server      │
              └─────────┬──────────┘
                        │
        ┌───────────────┼───────────────┐
        │               │               │
┌───────▼───────┐ ┌─────▼─────┐ ┌──────▼──────┐
│  GA4Service   │ │ GTMService│ │HealthService│
│  (w/ retry)   │ │ (w/ retry)│ │(w/ scheduler)│
└───────┬───────┘ └─────┬─────┘ └──────┬──────┘
        │               │              │
        └───────────────┼──────────────┘
                        │
        ┌───────────────▼───────────────┐
        │    Google APIs (GA4, GTM, BQ) │
        └───────────────────────────────┘
                        │
               ┌────────▼────────┐
               │   PostgreSQL    │
               │  (Sites, Audit)  │
               └─────────────────┘

Security Features

KMS/Secrets Manager Support

Store Google service account credentials securely:

# AWS Secrets Manager
KMS_PROVIDER=aws
AWS_SECRET_NAME=analytics-mcp/google-credentials

# GCP Secret Manager
KMS_PROVIDER=gcp
GOOGLE_CLOUD_PROJECT=your-project

# Azure Key Vault
KMS_PROVIDER=azure
AZURE_KEY_VAULT_URL=https://your-vault.vault.azure.net/
AZURE_SECRET_NAME=google-credentials

API Authentication

  • Admin and read-only API keys
  • Role-based access control
  • Audit logging of all operations

Development

# Install dependencies
pip install -e ".[dev]"

# Install Playwright browsers (required for site analyzer and preview verification)
playwright install chromium

# Run tests
MOCK_GOOGLE_APIS=true pytest backend/tests -v

# Run API locally
DATABASE_URL=postgresql://analytics:analytics@localhost:5432/analytics_mcp \
MOCK_GOOGLE_APIS=true \
PYTHONPATH=backend/src uvicorn main:app --reload

# Run migrations
alembic -c backend/alembic.ini upgrade head

# Web UI development
cd web-ui && npm install && npm run dev

Configuration

Environment Variables

Variable Description Default
MOCK_GOOGLE_APIS Use mock Google APIs (no real credentials needed) true
GOOGLE_APPLICATION_CREDENTIALS Path to service account JSON -
GTM_ACCOUNT_ID GTM account ID 1234567
KMS_PROVIDER Secrets manager (aws/gcp/azure) -
API_RETRY_ATTEMPTS Number of retry attempts for API calls 3
HEALTH_CHECK_INTERVAL_MINUTES Health check scheduler interval 60

See config/env.example for full configuration options.


Mock Mode

Set MOCK_GOOGLE_APIS=true (default in docker-compose) to run without real Google credentials. All GA4/GTM operations use in-memory mocks — ideal for development and CI.


Contributing

Contributions welcome! Please read our contributing guidelines (coming soon).


License

MIT — see LICENSE

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选