Ground agents in the official India Post PIN code directory so address answers cite the right district and office.
Give an agent India Pincode 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 indiapincode to confirm and normalize it before acting, closing off a common source of silent errors.
Every location fact the agent uses carries India Pincode 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.
counttotalMatchesresultsHow to ground an agent in it over MCP.
Same data, same VerveContext account, same credit balance — one key works on all of them.
