Ground agents in verifiable US ZIP data — 40K+ codes mapped to city, state and coordinates — so location answers rest on real records, not guesses.
Give an agent Zip Code 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 zipcodes to confirm and normalize it before acting, closing off a common source of silent errors.
Every location fact the agent uses carries Zip Code 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_abbrlatitudelongitudecitystateHow to ground an agent in it over MCP.