Give enterprise agents text-cleaning through the same real-data layer, stripping punctuation from strings on demand for downstream NLP.
Have an agent run text through Punctuation Cleaning to translate, clean, or analyze it in a verifiable step, so downstream reasoning starts from consistent input.
Expose punctuation cleaning 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 removepunctuation, 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.
cleanedpunctuation_removedcountHow to ground an agent in it over MCP.