Ground agents in verifiable USDA hardiness zones so gardening and agriculture answers map ZIP codes to real climate data, not assumptions.
Give an agent Hardiness Zone so it resolves places, distances, and timezones from real data instead of approximating — the difference between a plausible answer and a correct one.
When a user names a location, the agent calls hardinesszone to confirm and normalize it before acting, closing off a common source of silent errors.
Every location fact the agent uses carries Hardiness Zone as its origin, so the reasoning is auditable end to end.
Point your agent framework at the VerveContext endpoint. Every enabled source — this one included — becomes a tool the model can call. No per-source plumbing.
{
"mcpServers": {
"vervecontext": {
"url": "https://api.vervecontext.com/v1/mcp",
"headers": { "x-api-key": "vc_live_••••" }
}
}
}Each call returns structured fields your agent can read — and trace back to this source.
zipCodezonetempRangezoneTitledetailsHow to ground an agent in it over MCP.