Using MCP to enable AI agents for Google Ads campaign management

Short summary

An exploration of using the Model Context Protocol (MCP) to give AI agents read and write access to Google Ads, enabling automated campaign management decisions. The author describes a workflow where an agent can check ROAS, identify underperforming campaigns, and pause them autonomously. The post also covers the infrastructure requirements (OAuth, developer token, customer ID) and safety considerations for giving LLMs write-access to ad spend.

• •MCP server for Google Ads enables agents to reason over data and execute changes, not just summarize
• •Workflow example: agent checks ROAS thresholds and pauses underperforming campaigns autonomously
• •Requires OAuth credentials, developer token, and customer ID; author's product Vinkius simplifies setup

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