Connects large language models to the Google Ads API, enabling conversational interaction with advertising data.
Sponsored
The Google Ads tool provides an experimental Model Context Protocol (MCP) server that integrates the Google Ads API with large language models (LLMs). This allows users to interact with their Google Ads accounts using natural language prompts, leveraging specific 'Tools' like `search` for account information and `list_accessible_customers` to identify accessible customer accounts. It streamlines the process of querying and managing Google Ads data through conversational AI interfaces like Gemini CLI or Gemini Code Assist.
Key Features
01Configurable with Google Ads API Python client library settings
02Supports Application Default Credentials (ADC) for authentication
03Integrates with Gemini CLI and Gemini Code Assist
04Retrieves Google Ads account information via LLM prompts
05Lists accessible customer accounts through natural language queries
06295 GitHub stars
Use Cases
01Monitoring Google Ads campaign performance using natural language queries
02Identifying accessible Google Ads customer accounts
03Querying active campaign counts for specific customer IDs
04Gaining insights into ad account data through conversational AI
