Ground agents in verifiable emoji reference data — names, categories and codes — so emoji handling rests on the real Unicode set.
Let an agent call Emoji to expand an ID into full, structured detail from live data — grounding enrichment steps in fact, not recall.
Wire emoji 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 Emoji 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.
countemojisFoundHow to ground an agent in it over MCP.