Google Ads
Enables Large Language Models (LLMs) to interact directly with the Google Ads API using the Model Context Protocol (MCP).
About
Bridging the gap between artificial intelligence and advertising, the Google Ads MCP Server implements the Model Context Protocol (MCP), empowering Large Language Models (LLMs) like Gemini to seamlessly interact with the Google Ads API. This server facilitates direct programmatic access to Google Ads campaign data and management functions through natural language queries, making it easier for AI agents to automate and assist with advertising tasks.
Key Features
- Implements Model Context Protocol (MCP)
- Python 3.12 compatible
- Enables natural language queries for Google Ads data
- 5 GitHub stars
- Facilitates LLM-Google Ads API interaction
- Supports standard Google Ads API credential configuration
Use Cases
- Managing Google Ads entities like ad groups using AI agents
- Querying Google Ads campaign data via an LLM
- Retrieving performance metrics for Google Ads campaigns through natural language
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