# MCP Server Starter (TypeScript)

> Use this tool when you need to quickly build and deploy a Model Context Protocol (MCP) server that connects AI applications to various data sources or tools. It provides a minimal, production-ready TypeScript starter template with auto-loading architecture for tools, resources, and prompts, solving problems of manual setup and configuration. Ideal for use cases requiring rapid development and deployment of MCP servers with flexible integration capabilities.

Canonical page: https://skillsregistry.net/skills/jacobboykin-amazing-marvin-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jacobboykin-amazing-marvin-mcp-server

## Description

A minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers with auto-loading architecture for tools, resources, and prompts. Provides boilerplate code, generators, and examples to quickly create MCP servers that can connect AI applications to any data source or tool.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f9xrqtk9vi)
- **Repository:** <https://github.com/jacobboykin/amazing-marvin-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": "jacobboykin-amazing-marvin-mcp-server"
    }
  }
}
```

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