# my-mcp-server

> Use this tool when you need to build custom AI assistant integrations for tools like Claude, Copilot, and Cursor, and want a complete development environment with built-in support for testing and CI/CD pipelines. It provides a TypeScript starter template for creating Model Context Protocol (MCP) servers, streamlining the development process with a pre-configured interface for inputs and outputs. Ideal for use cases requiring custom AI integrations, this tool simplifies the process of designing and deploying MCP servers.

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

## Description

A TypeScript starter template for building Model Context Protocol (MCP) servers with built-in support for tools, testing, and CI/CD pipelines. It provides a complete development environment for creating custom AI assistant integrations for tools like Claude, Copilot, and Cursor.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j3ib9zgx3o)
- **Repository:** <https://github.com/matracey/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": "matracey-mcp-server-template"
    }
  }
}
```

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