# mcp-rawg

> mcp-rawg — pipeworx-io-mcp-rawg. Use this tool when you need to access a vast library of video game data, solving problems such as game discovery, information retrieval, and content enrichment. It takes API queries as input and returns relevant game data as output, providing a seamless interface to the RAWG video games database. Utilize it in projects requiring comprehensive game information, such as game development, content creation, or recommendation systems.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-rawg  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-rawg

## Description

RAWG MCP — wraps the RAWG video games database API (rawg.io)

## 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:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-rawg)

## 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": "pipeworx-io-mcp-rawg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-rawg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-rawg/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