Google Open-Sources An MCP Server For The Google Commercials API, Bringing LLM-Native Entry To Commercials Information

Google has open-sourced a Model Context Protocol (MCP) server that exposes read-only entry to the Google Commercials API for agentic and LLM functions. The repository googleads/google-ads-mcp implements an MCP server in Python that surfaces two devices proper this second: search (GAQL queries over Commercials accounts) and list_accessible_customers (enumeration of purchaser belongings). It consists of setup by the use of pipx, Google Commercials developer tokens, OAuth2 scopes (https://www.googleapis.com/auth/adwords), and Gemini CLI / Code Assist integration via a traditional MCP client configuration. The enterprise is labeled “Experimental.”

So, why it points?

MCP is rising as a typical interface for wiring fashions to exterior applications. By transport a reference server for the Commercials API, Google lowers the mix worth for LLM brokers that need advertising and marketing marketing campaign telemetry, funds pacing, and effectivity diagnostics with out bespoke SDK glue.

The best way it really works? (developer view)

• Protocol: MCP standardizes “devices” that fashions can invoke with typed parameters and responses. The Commercials MCP server advertises devices mapped to Google Commercials API operations; MCP consumers (Gemini CLI/Code Assist, others) uncover and identify them all through a session.
• Auth & scopes: You enable the Google Commercials API in a Cloud enterprise, purchase a developer token, and configure Software program Default Credentials or the Commercials Python client. Required scope is adwords. For manager-account hierarchies, set a login purchaser ID.
• Shopper wiring: Add a ~/.gemini/settings.json entry pointing to the MCP server invocation (pipx run git+https://github.com/googleads/google-ads-mcp.git google-ads-mcp) and cross credentials by the use of env vars. Then query by the use of /mcp in Gemini or by prompting for campaigns, effectivity, and so forth.

Ecosystem signal

Google’s server arrives amid broader MCP adoption all through distributors and open-source consumers, reinforcing MCP as a sensible path to agent-to-SaaS interoperability. For PPC and progress teams experimenting with agentic workflows, the reference server is a low-friction technique to validate LLM-assisted QA, anomaly triage, and weekly reporting with out granting write privileges.

Key Takeaways

• Google open-sourced a read-only Google Commercials API MCP server, showcasing two devices: search (GAQL) and list_accessible_customers.
• Implementation particulars: Python enterprise on GitHub (googleads/google-ads-mcp), Apache-2.0 license, marked Experimental; arrange/run by the use of pipx and configure OAuth2 with the https://www.googleapis.com/auth/adwords scope (dev token + elective login-customer ID).
• Works with MCP-compatible consumers (e.g., Gemini CLI / Code Assist) so brokers can drawback GAQL queries and analyze Commercials accounts via natural-language prompts.

Conclusion

In smart phrases, Google’s open-sourced Google Commercials API MCP server gives teams a standards-based, read-only path for LLM brokers to run GAQL queries in opposition to Commercials accounts with out bespoke SDK wiring. The Apache-licensed repo is marked experimental, exposes search and list_accessible_customers, and integrates with MCP consumers like Gemini CLI/Code Assist; manufacturing use should account for OAuth scope (adwords), developer token administration, and the data-exposure caveat well-known throughout the README.

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