# razorpay-mcp-guard

> razorpay-mcp-guard — alfred-hqbot-razorpay-mcp-guard. Use this tool when you need to enforce spend controls and monitor transactions on Razorpay MCP, as it applies per-agent spend caps, category allowlists, and approval thresholds, while maintaining a tamper-evident audit ledger for transparency and compliance. It solves problems of overspending, unauthorized transactions, and lack of audit trails, providing inputs such as spend policies and agent information, and outputs including transaction approvals and audit logs. Ideal for use in environments requiring strict financial governance and regulatory adherence.

Canonical page: https://skillsregistry.net/skills/alfred-hqbot-razorpay-mcp-guard  
JSON: https://api.skillsregistry.net/v1/skills/alfred-hqbot-razorpay-mcp-guard

## Description

Enforces spend policies on Razorpay MCP tool calls by applying per-agent spend caps, category allowlists, and approval thresholds, with a tamper-evident audit ledger.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ggt1b5d87p)
- **Repository:** <https://github.com/alfred-HQbot/razorpay-mcp-guard>

## 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": "alfred-hqbot-razorpay-mcp-guard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alfred-hqbot-razorpay-mcp-guard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alfred-hqbot-razorpay-mcp-guard/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