Ground agents in verifiable Nobel laureate records so answers about winners, years and categories rest on sourced facts, not recall.
Let an agent call Nobel Prize to expand an ID into full, structured detail from live data — grounding enrichment steps in fact, not recall.
Wire nobelprizes into an agent so it pulls the fields it's missing at the moment it needs them, each traceable to the source.
Every detail the agent adds carries Nobel Prize as its origin, keeping the pipeline verifiable.
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.
countfilteredOnnobelPrizesHow to ground an agent in it over MCP.