# Pop Pay

> Use this tool when you need to securely manage AI agent payments without relying on SaaS or login requirements. Pop Pay solves the problem of payment security by providing configurable spending guardrails and preventing unauthorized purchases or credential leaks. It takes in payment credentials and transaction data as inputs and outputs secure, controlled payment transactions with customizable limits and vendor restrictions.

Canonical page: https://skillsregistry.net/skills/pop-pay  
JSON: https://api.skillsregistry.net/v1/skills/pop-pay

## Description

Pop Pay is a fully local MCP server for managing AI agent payment security without SaaS or login requirements. Uses Chrome DevTools Protocol for credential injection and provides configurable spending guardrails — per-transaction and daily limits, allowed vendor categories, and keyword or LLM-based guardrail engines. Prevents AI agents from leaking payment card details or making unauthorized purchases.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pop-pay)
- **Repository:** <https://github.com/100xpercent/pop-pay>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pop-pay"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pop-pay` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pop-pay/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt