Give enterprise agents a cron expression parser through the same real-data layer, validating syntax and describing schedules on demand.
Have an agent run text through Cron Parsing to translate, clean, or analyze it in a verifiable step, so downstream reasoning starts from consistent input.
Expose cron parsing 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 cronparser, 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.
expressionisValidformatfieldsdescriptionfrequencynextRunsHow to ground an agent in it over MCP.