# Razor Dvara MCP Server

> Razor Dvara MCP Server — utkarsh-sinha0-razor-dvara. Use this tool when you need to enforce merchant-defined rules and restrictions for cash-on-delivery (COD) commerce checkouts, or require advanced features like partial prepayment and delivery risk scoring. It solves problems related to checkout validation, payment processing, and delivery logistics, providing a secure and reliable interface for commerce agents. The tool accepts merchant rules and checkout data as inputs and outputs validation results, with audit-trail logging for tracking and debugging purposes.

Canonical page: https://skillsregistry.net/skills/utkarsh-sinha0-razor-dvara  
JSON: https://api.skillsregistry.net/v1/skills/utkarsh-sinha0-razor-dvara

## Description

Enables COD commerce checkout agents to enforce merchant-defined cash-on-delivery rules, partial prepayment, offers, delivery risk scoring, and serviceability checks, with audit-trail logging and fail-closed degraded behavior.

## 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:** finance
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/webj0i6kaj)
- **Repository:** <https://github.com/Utkarsh-Sinha0/razor-dvara>

## 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": "utkarsh-sinha0-razor-dvara"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/utkarsh-sinha0-razor-dvara` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/utkarsh-sinha0-razor-dvara/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
