Google Ads MCP Server
Provides access to Google Ads API for comprehensive campaign analytics, enabling conversational ad performance analysis with Claude Code.
README
Google Ads MCP Server
A Model Context Protocol (MCP) server that provides access to Google Ads API for comprehensive campaign analytics. Use with Claude Code for conversational ad performance analysis.
Features
- Google OAuth Authentication: Secure login with Google for multi-user access
- Remote HTTP Access: StreamableHTTP transport for remote MCP connections
- 11 Analytics Tools: Comprehensive Google Ads performance analytics
- Account information
- Campaign, Ad Group, and Ad performance metrics
- Keyword performance with quality scores
- Search term reports
- Performance Max asset group analysis
- Conversion action tracking
- Demographic performance (age, gender, device)
- Budget pacing and utilization analysis
- Multi-level data export
- Docker Support: Containerized deployment with health checks
- Production Ready: Environment-based configuration, security best practices
Prerequisites
- Node.js 24+ (or Docker)
- Google Ads API access (apply for developer token)
- Google Cloud project with OAuth 2.0 credentials
- Google Ads account with active campaigns
Quick Setup (Local Development)
1. Clone and Install
git clone https://github.com/jgdeutsch/google-ads-mcp.git
cd google-ads-mcp
npm install
2. Get Google Ads API Credentials
- Create a Google Cloud project at console.cloud.google.com
- Enable the Google Ads API
- Create OAuth 2.0 credentials (Desktop application type)
- Get your developer token from Google Ads API Center
3. Get Refresh Token
# Edit scripts/get_refresh_token.py with your CLIENT_ID and CLIENT_SECRET
python3 scripts/get_refresh_token.py
4. Configure Environment
cp .env.example .env
# Edit .env and add:
# - GOOGLE_ADS_CLIENT_ID (from OAuth credentials)
# - GOOGLE_ADS_CLIENT_SECRET (from OAuth credentials)
# - GOOGLE_ADS_REFRESH_TOKEN (from step 3)
# - GOOGLE_ADS_DEVELOPER_TOKEN (from API Center)
# - GOOGLE_ADS_LOGIN_CUSTOMER_ID (MCC account, no dashes)
# - GOOGLE_ADS_CUSTOMER_ID (ad account, no dashes)
# - SESSION_SECRET (generate with: openssl rand -base64 32)
# - REQUIRE_AUTH=false (for local use)
5. Start the Server
npm run build && npm start
# Or for development with hot reload:
npm run dev
6. Configure Claude Code
Add to ~/.config/claude-code/mcp.json:
{
"mcpServers": {
"google-ads": {
"url": "http://localhost:3000/mcp",
"transport": "http"
}
}
}
7. Test in Claude Code
You: "Show me campaign performance for last 7 days"
You: "What are my top performing keywords?"
You: "Show search terms with highest spend"
You: "How's my budget pacing this month?"
Available Tools
| # | Tool | Description |
|---|---|---|
| 1 | get-account |
Account info (name, currency, timezone, status) |
| 2 | get-campaign-performance |
Campaign metrics with budget and bidding strategy |
| 3 | get-ad-group-performance |
Ad group metrics with campaign context |
| 4 | get-ad-performance |
Individual ad performance metrics |
| 5 | get-keyword-performance |
Keyword metrics with quality scores |
| 6 | get-search-terms |
Search queries that triggered your ads |
| 7 | get-asset-group-performance |
Performance Max asset group metrics |
| 8 | get-conversions |
Conversion actions and conversion metrics |
| 9 | get-demographic-performance |
Performance by age, gender, or device |
| 10 | get-budget-analysis |
Budget pacing and utilization rates |
| 11 | export-data |
Multi-level data export with daily breakdowns |
Date Ranges
All tools support these date range presets:
TODAY,YESTERDAYLAST_7_DAYS,LAST_14_DAYS,LAST_30_DAYS,LAST_90_DAYSTHIS_MONTH,LAST_MONTH
Docker Deployment
# Build and start
docker-compose up -d
# View logs
docker-compose logs -f
# Stop
docker-compose down
Production Deployment (Railway)
- Fork this repo
- Connect to Railway
- Set environment variables in Railway dashboard
- Deploy (uses Dockerfile automatically)
Environment Variables
See .env.example for full documentation.
Required
| Variable | Description |
|---|---|
GOOGLE_ADS_CLIENT_ID |
OAuth client ID |
GOOGLE_ADS_CLIENT_SECRET |
OAuth client secret |
GOOGLE_ADS_REFRESH_TOKEN |
OAuth refresh token |
GOOGLE_ADS_DEVELOPER_TOKEN |
Google Ads API developer token |
GOOGLE_ADS_LOGIN_CUSTOMER_ID |
MCC account ID (no dashes) |
GOOGLE_ADS_CUSTOMER_ID |
Ad account ID (no dashes) |
SESSION_SECRET |
Random 32+ char secret |
Optional
| Variable | Default | Description |
|---|---|---|
PORT |
3000 |
Server port |
HOST |
0.0.0.0 |
Bind address |
NODE_ENV |
development |
Environment |
REQUIRE_AUTH |
false |
Enable OAuth for team access |
SESSION_TTL |
86400000 |
Session duration (ms) |
Development
npm install # Install dependencies
npm run type-check # Type checking
npm run dev # Development with hot reload
npm run build # Build TypeScript
npm start # Run built version
Security
- OAuth 2.0 with PKCE for authentication
- Bearer tokens with 24-hour expiry
- Non-root Docker container
- No secrets in version control
.envexcluded via.gitignore
License
MIT
Support
- GitHub Issues: https://github.com/jgdeutsch/google-ads-mcp/issues
Built with the Model Context Protocol SDK
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.