Skip to main content
Glama
QUICK_START.md•4.39 kB
# Quick Start Guide - Google Ads MCP ## Installation ```bash pip install mcp google-ads ``` ## Configuration 1. Copy `.env.example` to `.env` 2. Add your Google Ads API credentials: ``` GOOGLE_ADS_DEVELOPER_TOKEN=your_token GOOGLE_ADS_LOGIN_CUSTOMER_ID=your_manager_account_id GOOGLE_ADS_CLIENT_ID=your_client_id GOOGLE_ADS_CLIENT_SECRET=your_secret GOOGLE_ADS_REFRESH_TOKEN=your_refresh_token ``` 3. Add to Claude Desktop config (`~/.config/claude/claude_desktop_config.json`): ```json { "mcpServers": { "google-ads": { "command": "python", "args": ["/path/to/server.py"], "env": { "GOOGLE_ADS_DEVELOPER_TOKEN": "your_token", "GOOGLE_ADS_LOGIN_CUSTOMER_ID": "your_customer_id", "GOOGLE_ADS_CLIENT_ID": "your_client_id", "GOOGLE_ADS_CLIENT_SECRET": "your_secret", "GOOGLE_ADS_REFRESH_TOKEN": "your_refresh_token" } } } } ``` ## Common Prompts ### "List my campaigns" ```python campaigns = call_tool('list_campaigns', {'customer_id': 'YOUR_ID'}) ``` ### "What's my campaign performance last 30 days?" ```python perf = call_tool('get_performance', { 'level': 'campaign', 'customer_id': 'YOUR_ID', 'date_range': 'LAST_30_DAYS', 'metrics': ['impressions', 'clicks', 'conversions', 'cost_micros'] }) ``` ### "Show keywords with quality score < 5" ```python result = call_tool('execute_gaql', { 'query': 'SELECT ad_group_criterion.keyword.text, metrics.quality_score FROM ad_group_criterion WHERE metrics.quality_score < 5', 'customer_id': 'YOUR_ID' }) ``` ### "Get my best performing ad groups" ```python perf = call_tool('get_performance', { 'level': 'ad_group', 'customer_id': 'YOUR_ID', 'date_range': 'LAST_30_DAYS' }) top = sorted(perf, key=lambda x: x.get('metrics', {}).get('conversions', 0), reverse=True)[:10] ``` ### "Shopping campaign ROI analysis" ```python result = call_tool('execute_gaql', { 'query': '''SELECT campaign.name, metrics.conversions, metrics.cost_micros FROM campaign WHERE campaign.advertising_channel_type = 'SHOPPING' AND segments.date DURING LAST_30_DAYS''', 'customer_id': 'YOUR_ID' }) ``` ## GAQL Cheat Sheet ### Date Filters - `LAST_7_DAYS`, `LAST_30_DAYS`, `LAST_90_DAYS` - `LAST_MONTH`, `LAST_QUARTER`, `LAST_YEAR` - `THIS_MONTH`, `THIS_QUARTER`, `THIS_YEAR` ### Common Metrics - `metrics.impressions` - Total impressions - `metrics.clicks` - Total clicks - `metrics.conversions` - Total conversions - `metrics.cost_micros` - Cost (in millionths of currency) - `metrics.ctr` - Click-through rate - `metrics.conversion_rate` - Conversion rate - `metrics.quality_score` - Quality score (1-10) - `metrics.average_cpc` - Average cost per click ### Common Segments - `segments.date` - By date - `segments.device` - Mobile, Tablet, Desktop - `segments.geo_target_country` - By country code - `segments.day_of_week` - 1-7 (Monday-Sunday) - `segments.hour_of_day` - 0-23 ### Campaign Types - `SEARCH` - Search Network - `DISPLAY` - Display Network - `SHOPPING` - Shopping campaigns - `VIDEO` - YouTube/video campaigns - `APP` - App campaigns - `PERFORMANCE_MAX` - Performance Max ## Output Formats All queries support three formats: ```python # JSON (default) call_tool('execute_gaql', {..., 'output_format': 'json'}) # CSV - great for importing to sheets call_tool('execute_gaql', {..., 'output_format': 'csv'}) # Table - ASCII table for viewing call_tool('execute_gaql', {..., 'output_format': 'table'}) ``` ## Tips for Token Efficiency 1. **Filter in code, not queries** - Get data then filter with Python 2. **Use pagination** - Set `'auto_paginate': True` for large result sets 3. **Specify metrics** - Only request the metrics you need 4. **Process before returning** - Aggregate/transform data before logging 5. **Use segments wisely** - Segment only by relevant dimensions ## Troubleshooting **"Missing required Google Ads credentials"** - Verify all 5 environment variables are set - Check for typos in variable names **"GAQL query failed"** - Check GAQL syntax with `call_tool('gaql_help', {})` - Verify customer_id is correct - Test query in Google Ads API explorer first **"No results"** - Verify date range has data - Check filters are correct - Try without filters first to debug

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/blievens89/MCPGoogleAds'

If you have feedback or need assistance with the MCP directory API, please join our Discord server