An MCP tool that hands an agent a Google Maps reviewer's full history for vetting and fraud checks

Reddit r/AI_Agents Tools
mcp google-maps reviews fraud-detection agent-tools developer-tooling

Summary

The author built an MCP tool that lets AI agents retrieve a Google Maps reviewer's full history and metadata for vetting reviews and detecting fraudulent patterns.

I kept hitting the same gap building agent workflows for reviews: I could get a place's reviews easily, but not a single reviewer's history, which is what you actually need to judge if a review is trustworthy. So I wired one up as an MCP tool. The agent passes a contributor ID and gets back that reviewer's full history as JSON: every review with rating, text, date, and photos, the place and its coordinates, and the reviewer's Local Guide level and points. From there the agent can summarize patterns and flag things like an account that only ever reviews one chain, or a burst of reviews across unrelated places in a short window. It is callable from Claude, Cursor, or ChatGPT over MCP. Link in the first comment per sub rules.
Original Article

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