Ground agents in a verifiable database of known bots and crawlers so traffic and access decisions rest on real reputation data, not guesses.
Give an agent Bot Detection so it resolves and checks hosts against real data before acting, rather than assuming — grounding network reasoning in fact.
Wire botdetector into an operations agent so its answers about connectivity and infrastructure rest on live lookups it can cite.
Each result the agent relies on carries Bot Detection as its source, keeping the reasoning auditable.
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.
userAgentisBotbotHow to ground an agent in it over MCP.