Give enterprise agents grammatical tense rewriting through the same real-data layer, shifting text to past or future on demand.
Have an agent run text through Tense Conversion to translate, clean, or analyze it in a verifiable step, so downstream reasoning starts from consistent input.
Expose tense conversion 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 tenseconverter, 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.
tenseresultchangedHow to ground an agent in it over MCP.