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Posted on Originally published at scriptmasterlabs.com

Sigo Seguros MCP Server: Your AI Agent Can Now Buy Insurance — But Who Says Yes?

On October 1, 2026, Sigo Seguros of Austin, Texas became the first personal auto insurance agency to let an AI agent — ChatGPT, Grok Bot, Muse — take a Texas driver from first question to purchased policy inside the conversation. The agent requests estimates from multiple carriers, compares options, and completes the purchase on the spot. Sigo also launched InsuranceMCP.com (verified live at launch, HTTP 200) as an open directory where any insurer or agency can list its MCP server.

Every article in today's coverage answers the same question: what launched. None answers the one that matters for a machine that can now spend your money: which judgment lets the agent click "buy" on a binding insurance contract?

This is the first true agentic-commerce purchase — not a $0.03 API micropayment, but a binding contract with a recurring monthly premium. The quote is data; the purchase is a decision. Sigo solved the information problem it named (some marketplaces block AI agents because they strip quotes of coverage limits, deductibles, eligibility conditions, and state-required disclosures; Sigo's answer is structured estimates via MCP, not scraped pages). Nobody solved the authorization problem.

The machine-native answer is the decision gate (full pattern: https://scriptmasterlabs.com/decision-gated-payments):

  • Fetching quotes via MCP: read-only, auto-run (≥0.80)
  • Routine renewal at identical terms: auto-pay (≥0.80)
  • New policy purchase: human confirm band (0.50–0.79) — the customer taps approve in the same chat
  • Purchase with limits/deductibles the user never reviewed: <0.50 → block, log, escalate

We minted two live gate receipts today against our own endpoint (POST https://scriptmasterlabs.com/api/harness/decide, type: score, scale: [0,1]): the auto-buy scenario scored 0.35 (escalate, block+log) — and so did the safe present-and-pause pattern. Honest finding: our uncalibrated heuristic can't discriminate the two; the fail-closed ceiling is the protection, and a calibrated decider is the upgrade.

DIY — gate any MCP purchase tool in 5 steps:

  1. Split the tool surface: quote (read-only, auto) vs purchase (gated). Never one tool.
  2. Score the purchase intent — amount, recurrence, disclosure-review state — on a decision endpoint.
  3. Wire the bands: ≥0.80 execute, 0.50–0.79 in-conversation confirmation, <0.50 block+log+escalate.
  4. Fail closed: endpoint down or score missing → escalate.
  5. Log like an auditor: score, band, who reviewed limits/deductibles/disclosures, confirmation record.

Full breakdown with dated receipts table, gate mapping, live receipts, and Claim Receipts: https://scriptmasterlabs.com/sigo-seguros-mcp-agent-insurance

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