Give enterprise agents text summarization through the same real-data layer, condensing articles and reports to a set length on demand.
Have an agent run text through Text Summarization to translate, clean, or analyze it in a verifiable step, so downstream reasoning starts from consistent input.
Expose text summarization 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 textsummarizer, 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.
originalWordssummaryWordspercentDifferencesummaryHow to ground an agent in it over MCP.