Google Analytics MCP Server
Enables interaction with Google Analytics APIs to fetch reports, manage properties, data streams, conversion events, and custom dimensions/metrics through OAuth2 authentication.
README
Google Analytics MCP Server
GA-MCP (Google Analytics Management Control Panel) is a lightweight Node.js package that provides developers with a structured interface to interact with Google Analytics APIs. It simplifies common GA tasks like querying analytics reports, managing properties, audiences, and more—making it ideal for data analysts, developers, and marketing teams looking to automate reporting and analytics workflows. MCP standard.
Features
- Fetch and analyze GA performance data (sessions, users, pageviews, conversions)
- Manage properties, data streams, and conversion events
- Query custom dimensions and metrics
- Access account hierarchies and property configurations
- Export data for dashboards or further analysis
- OAuth2 authentication with access and refresh tokens
- Lightweight, secure, and highly configurable
MCP Tools
get_reports: Get analytics reports data for specified metrics and dimensionslist_accounts: List all Google Analytics accountslist_properties: List properties for a Google Analytics accountlist_data_streams: List data streams for a propertylist_custom_dimensions: List custom dimensions for a propertylist_custom_metrics: List custom metrics for a propertylist_conversion_events: List conversion events for a property
Getting Started
Prerequisites
- Node.js v18 or later
- Google OAuth2 credentials (Client ID and Client Secret)
- Valid Google Analytics access and refresh tokens
Authentication Setup
-
Create OAuth2 Credentials:
-
Go to the Google Cloud Console
-
Create or select a project
-
Enable the Google Analytics API
-
Go to "Credentials" → "Create Credentials" → "OAuth 2.0 Client IDs"
-
Configure the consent screen and choose the appropriate application type:
Option A: Web Application (Recommended)
- Select "Web application"
- Add
http://localhost:3000/auth/callbackto "Authorized redirect URIs"
Option B: Desktop Application
- Select "Desktop application"
- No redirect URI configuration needed (uses out-of-band flow)
-
-
Generate Access and Refresh Tokens:
- Use the included helper script:
npm run oauth-helper - Or use Google OAuth2 Playground with your client credentials
- Or implement your own OAuth2 flow
- Use the included helper script:
Quick Setup Workflow
# 1. Set up environment file
npm run setup-env
# 2. Edit .env with your OAuth2 Client ID and Secret (from step 1 above)
# 3. Generate tokens
npm run oauth-helper
# 4. Copy the generated tokens to your .env file
# 5. Build and start
npm run build
node dist/index.js
Installation
Clone this repository and install dependencies:
pnpm install
# or
npm install
Build
pnpm build
# or
npm run build
Configuration Environment Variables
Option 1: Using .env file (Recommended)
Set up your environment file:
npm run setup-env
# This creates .env from the template
# Edit .env file with your actual credentials
Option 2: Using export commands
Set the following environment variables:
export GOOGLE_CLIENT_ID=your_oauth2_client_id
export GOOGLE_CLIENT_SECRET=your_oauth2_client_secret
export GOOGLE_ACCESS_TOKEN=your_access_token
export GOOGLE_REFRESH_TOKEN=your_refresh_token
Start
Start the MCP server:
node dist/index.js
Integrate with Cursor
To use this MCP server with Cursor, add a .cursor/mcp.json file to your project root:
{
"mcpServers": {
"ga-mcp": {
"command": "npx",
"args": ["-y", "ga-mcp"],
"env": {
"GOOGLE_CLIENT_ID": "your_oauth2_client_id",
"GOOGLE_CLIENT_SECRET": "your_oauth2_client_secret",
"GOOGLE_ACCESS_TOKEN": "your_access_token",
"GOOGLE_REFRESH_TOKEN": "your_refresh_token"
}
}
}
}
Integrate with VSCode
To use this MCP server with VSCode, add a .vscode/mcp.json file to your project root:
{
"servers": {
"ga-mcp": {
"command": "npx",
"args": ["-y", "ga-mcp"],
"env": {
"GOOGLE_CLIENT_ID": "your_oauth2_client_id",
"GOOGLE_CLIENT_SECRET": "your_oauth2_client_secret",
"GOOGLE_ACCESS_TOKEN": "your_access_token",
"GOOGLE_REFRESH_TOKEN": "your_refresh_token"
}
}
}
}
This configuration enables VSCode to recognize and manage the Google Analytics MCP server automatically.
This configuration enables Cursor to recognize and manage the Google Analytics MCP server automatically.
Token Refresh
The MCP server automatically handles token refresh using the provided refresh token. If the access token expires, it will be automatically refreshed during API calls.
Troubleshooting
"The redirect URI... can only be used by a Client ID for native application"
This error occurs when you have a Web application OAuth client but are using the out-of-band redirect URI. Solutions:
Solution 1: Use Web Application (Recommended)
- In Google Cloud Console, edit your OAuth client
- Add
http://localhost:3000/auth/callbackto "Authorized redirect URIs" - Keep
GOOGLE_REDIRECT_URI=http://localhost:3000/auth/callbackin your.envfile
Solution 2: Switch to Desktop Application
- Create a new OAuth client and select "Desktop application"
- Set
GOOGLE_REDIRECT_URI=urn:ietf:wg:oauth:2.0:oobin your.envfile
About AST Consulting
AST Consulting is a premier digital consulting firm specializing in FinOps, cloud optimization, AI/ML solutions, digital transformation, and performance marketing. With over 100 years of combined leadership experience and a portfolio impacting 50M+ businesses and 500M+ users, AST delivers measurable outcomes by blending strategic vision with deep technical expertise.
We developed ga-mcp as part of our commitment to empower marketers, analysts, and digital teams with tools that drive efficiency, transparency, and actionable insights. Whether optimizing cloud spend or automating analytics intelligence pipelines, AST builds solutions that scale.
👉 Visit us at www.astconsulting.in
ga-mcp
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.