# Boilerplate MCP Server

> Use this tool when you need to develop a custom Model Context Protocol (MCP) server with a robust architecture, to connect AI assistants with external APIs and data sources, and solve problems related to integrating AI models with geolocation data and other external information. It provides a complete layered architecture pattern and a working IP geolocation example as input, and outputs a production-ready MCP server. Ideal for use cases requiring a scalable and maintainable foundation for building custom MCP servers in TypeScript.

Canonical page: https://skillsregistry.net/skills/devkindhq-swell-mcp  
JSON: https://api.skillsregistry.net/v1/skills/devkindhq-swell-mcp

## Description

A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript with a complete layered architecture pattern. Includes a working IP geolocation example and comprehensive developer infrastructure to connect AI assistants with external APIs and data sources.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s167ogq4b6)
- **Repository:** <https://github.com/devkindhq/swell-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": "devkindhq-swell-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devkindhq-swell-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devkindhq-swell-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