# Enterprise MCP Server Template

> Enterprise MCP Server Template — qmmughal-mcp-server-template. Use this tool when you need to build a scalable and secure Model Context Protocol (MCP) server with robust validation and logging capabilities. It solves problems related to integrating AI agents, such as Claude Desktop and Cursor, into enterprise environments, providing a production-ready template with Zod validation and structured logging. The template takes in TypeScript inputs and outputs a fully functional MCP server, ideal for use cases requiring seamless AI agent integration and robust server infrastructure.

Canonical page: https://skillsregistry.net/skills/qmmughal-mcp-server-template  
JSON: https://api.skillsregistry.net/v1/skills/qmmughal-mcp-server-template

## Description

A production-ready TypeScript template for building Model Context Protocol (MCP) servers with Zod validation, structured logging, and seamless integration with AI agents like Claude Desktop and Cursor.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mya1v5kgcs)
- **Repository:** <https://github.com/qmmughal/mcp-server-template>

## 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": "qmmughal-mcp-server-template"
    }
  }
}
```

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