Give enterprise agents a grammar extractor through the same real-data layer, pulling nouns, verbs and adjectives from text on demand.
Have an agent run text through Parts of Speech to translate, clean, or analyze it in a verifiable step, so downstream reasoning starts from consistent input.
Expose parts of speech to your agents as a tool over the same MCP endpoint and key as every grounding source — no separate integration.
Because the transform runs through partsofspeech, the agent's output can point back to the exact operation that produced it.
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.
partofspeechresultcountHow to ground an agent in it over MCP.