# WonGames

> Use this tool when you need to retrieve and manage video game data, such as curated game collections, pricing information, and metadata, to power conversational interfaces and AI-driven applications. WonGames MCP Server provides a GraphQL-based interface for fetching game data with optional filtering and pagination, solving data retrieval and formatting challenges. It accepts queries and filters as inputs, and outputs structured game data in a format suitable for AI consumption.

Canonical page: https://skillsregistry.net/skills/wongames-damasio  
JSON: https://api.skillsregistry.net/v1/skills/wongames-damasio

## Description

WonGames MCP Server provides a GraphQL-based interface for retrieving video game data from a Strapi CMS backend. Built by Saymon Damasio, this implementation uses the Model Context Protocol to enable AI assistants to fetch game information with optional filtering and pagination. The server leverages a generated GraphQL client to communicate with the API endpoint, transforming structured game data into a format suitable for AI consumption. It's particularly useful for applications needing to display curated game collections, pricing information, and game metadata within conversational interfaces.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wongames-damasio)
- **Repository:** <https://github.com/saymondamasio/wongames-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": "wongames-damasio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wongames-damasio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wongames-damasio/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