# One Piece & Geolocation

> Use this tool when you need to access information about the One Piece anime/manga series or determine geolocation data, with a configurable architecture that allows for flexible server selection and a unified deployment system. It solves problems for developers who require multiple themed or functional services, providing a multi-server approach within a single repository. Ideal for use cases where diverse services need to be managed and deployed efficiently, with inputs including user configuration and outputs including relevant data and information.

Canonical page: https://skillsregistry.net/skills/didacusdev-one-piece-geolocation  
JSON: https://api.skillsregistry.net/v1/skills/didacusdev-one-piece-geolocation

## Description

This MCP server collection by Diego Rodriguez provides two specialized services: a One Piece anime/manga information server and a geolocation service. Built with TypeScript and the MCP SDK, it uses a configurable architecture through Smithery that allows users to select which server to run at startup, with the One Piece server as the default. The implementation demonstrates a multi-server approach within a single repository, making it useful for developers who want to offer multiple themed or functional MCP services while maintaining a unified deployment and configuration system.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/didacusdev-one-piece-geolocation)
- **Repository:** <https://github.com/didacusdev/mcp-servers>

## 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": "didacusdev-one-piece-geolocation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/didacusdev-one-piece-geolocation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/didacusdev-one-piece-geolocation/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
