Ground agents in verifiable geographic data on national borders and regions so location reasoning rests on real facts, not inference.
Give an agent Country Borders 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 countryborders to confirm and normalize it before acting, closing off a common source of silent errors.
Every location fact the agent uses carries Country Borders 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.
countrycca2landlockedregionsubregioncoordinatesbordersHow to ground an agent in it over MCP.
