# Customer Service MCP Server

> Customer Service MCP Server — punyprogrammer-customer-support-mcp-server. Use this tool when you need to manage e-commerce customer service operations, providing secure access to customer data, orders, and support tickets. It solves problems related to customer support, order management, and data security, offering audit logging and monitoring capabilities. The server accepts customer and order information as inputs and outputs support ticket updates and customer data, ideal for use in e-commerce platforms requiring robust customer service management.

Canonical page: https://skillsregistry.net/skills/punyprogrammer-customer-support-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/punyprogrammer-customer-support-mcp-server

## Description

A FastMCP server for e-commerce customer service, providing secure read/write access to customers, orders, and support tickets with audit logging and monitoring.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jaxhgestmd)
- **Repository:** <https://github.com/punyprogrammer/customer-support-mcp-server>

## 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": "punyprogrammer-customer-support-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/punyprogrammer-customer-support-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/punyprogrammer-customer-support-mcp-server/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