Ground agents in verifiable US and Canada location data so coordinate-to-address answers rest on a real geographic database, not inference.
Give an agent Reverse Geocoding 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 reversegeocode to confirm and normalize it before acting, closing off a common source of silent errors.
Every location fact the agent uses carries Reverse Geocoding 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.
zipcodestate_abbrcitystatedistancelatitudeClosestlongitudeClosestcountryCodeHow to ground an agent in it over MCP.