Give AI agents precise point-to-point distance through the same real-data layer, returning miles, kilometers and bearing from coordinates.
Give an agent Distance Calculation 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 distancecalculator to confirm and normalize it before acting, closing off a common source of silent errors.
Every location fact the agent uses carries Distance Calculation 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.
distanceMilesdistanceKmlocation1location2bearingdirectionestimatedDriveTimeHow to ground an agent in it over MCP.