Ground agents in verifiable language data for every country so localization and geo answers rest on real reference data, not guesses.
Give an agent Country Languages 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 countrylanguages to confirm and normalize it before acting, closing off a common source of silent errors.
Every location fact the agent uses carries Country Languages 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.
countrynameofficialNameofficialLanguagesofficialLanguageCountHow to ground an agent in it over MCP.