# Doctah (PRTS Wiki)

> Use this tool when you need to retrieve detailed Arknights game data, such as operator and enemy information, to inform gameplay decisions or build game-related tools. It solves problems of manual wiki browsing by providing programmatic access to character stats, skill descriptions, and enemy data through a Python interface. With inputs of search queries and outputs of structured game information, use Doctah-MCP to streamline access to comprehensive Arknights data for content creation, development, or strategic gameplay.

Canonical page: https://skillsregistry.net/skills/tonybotni-doctah-prts  
JSON: https://api.skillsregistry.net/v1/skills/tonybotni-doctah-prts

## Description

Doctah-MCP provides access to Arknights game data through integration with the PRTS wiki, enabling retrieval of detailed information about operators (characters) and enemies from the popular tower defense mobile game. Built with Python and featuring tools for searching and extracting game statistics, character abilities, and enemy data, it uses web scraping with BeautifulSoup to parse PRTS wiki content and deliver structured game information. Designed for Arknights players, content creators, and developers building game-related tools who need programmatic access to comprehensive character stats, skill descriptions, and enemy information without manual wiki browsing.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tonybotni-doctah-prts)
- **Repository:** <https://github.com/tonybotni/doctah-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": "tonybotni-doctah-prts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tonybotni-doctah-prts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tonybotni-doctah-prts/pull`

---
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