# CommerceOps MCP Server

> CommerceOps MCP Server — krishcode264-commerce-ops-mcp. Use this tool when you need to automate e-commerce operations and resolve exceptions such as stuck orders or inventory discrepancies. The CommerceOps MCP Server takes in operational data as input and outputs diagnostic and resolution actions for AI agents, providing a secure and auditable interface. It is ideal for use cases where autonomous exception handling and real-time decision-making are critical to ensuring seamless e-commerce operations.

Canonical page: https://skillsregistry.net/skills/krishcode264-commerce-ops-mcp  
JSON: https://api.skillsregistry.net/v1/skills/krishcode264-commerce-ops-mcp

## Description

CommerceOps MCP Server is an AI-native Model Context Protocol server for e-commerce operations, enabling AI agents to autonomously diagnose and resolve operational exceptions such as stuck orders, missed payment webhooks, warehouse delays, and oversold inventory, with built-in safety guardrails and audit logging.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zzdnr9ppvb)
- **Repository:** <https://github.com/Krishcode264/commerce-ops-mcp>

## 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": "krishcode264-commerce-ops-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krishcode264-commerce-ops-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krishcode264-commerce-ops-mcp/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