Agent Verifier MCP

Spending limits for AI agents. Two ways to connect:

Option A: Local (npx)

{
  "mcpServers": {
    "budget": {
      "command": "npx",
      "args": ["@goodmeta/agent-verifier-mcp"],
      "env": { "VERIFIER_API_KEY": "gm_..." }
    }
  }
}

Option B: Remote (no install)

{
  "mcpServers": {
    "budget": {
      "type": "streamable-http",
      "url": "https://verifier.goodmeta.co/mcp",
      "headers": { "Authorization": "Bearer gm_..." }
    }
  }
}

Then ask your agent:

"Search Exa for agent payments research. Budget: $1."

The agent calls create_budget, check_budget before each payment, and settle after. If the budget runs out, the next payment is denied.

Tools

Tool	What it does
create_budget	Set a spending limit ($10, 24 hours)
check_budget	Check if a purchase is allowed (places a hold)
settle	Confirm hold after payment, or release if payment failed
get_budget	Query remaining budget and history

How it works

Agent wants to buy something ($0.50)
  │
  ├── check_budget(budget_id, 50, "vendor")
  │     → "Approved. Hold ID: hold_abc. Remaining: $9.50"
  │
  ├── [agent makes the payment via x402/card/MPP/any rail]
  │
  └── settle(hold_id, success=true)
        → "Hold confirmed."

Budget enforcement is rail-agnostic. Works with x402, credit cards, MPP, bank transfers — the verifier tracks the budget, the payment method doesn't matter.

Setup

Get a free API key:

curl -X POST https://verifier.goodmeta.co/setup/merchants \
  -H "Content-Type: application/json" \
  -d '{"names":["My Agent"]}'

Add the key to your MCP config. Done.

Works with

• Claude Code
• Any MCP-compatible client (Cursor, Windsurf, Codex, OpenClaw)
• agent-verifier npm package for programmatic use
• demo-agent for a full working example with real x402 payments

Why

Five protocols let AI agents spend money (AP2, ACP, x402, MPP, UCP). None of them track what the agent spent across services. An agent calling Exa + Firecrawl + Nansen can overspend because each service approves independently. This MCP server is the missing budget layer.