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Real-time tool recommendations for google agents (Vest MCP) #5915

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MCP Integration: Live Tool Recommendations for Agent Decision-Making

Agents built on google/adk-python regularly need to recommend or pick a SaaS tool for a task — today they either hardcode the choice or pull from outdated training data, which produces systematically wrong picks.

Vest is a drop-in MCP server that turns "which tool for X" into a structured query — returns live ranked recommendations from an offer graph that tracks real-world pricing, availability, popularity, and deployment paths. No hallucination, no stale data.

Integration shape is minimal: a single MCP tool node (Vest.recommendTool, Vest.compareTools, Vest.checkOffer) that google agents call exactly like any other tool. Zero changes to the framework's existing tool surface.

The upside for builders: agents stop hallucinating tool picks; users get accurate, verifiable recommendations; the framework looks more capable without any data work on your end. We handle the offer graph and real-time verification.

(Optional secondary value: for vendors and tool operators in the graph there's a verified-deployment + settlement layer, so when an agent actually picks something the transaction is tracked end-to-end.)

Happy to open a PR with a reference integration. Docs are at getvest.ai/mcp — would love to chat about how this fits into google's tool-calling roadmap.

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