# Game Predictor MCP Server

> Use this tool when you need to predict video game scores based on characteristics like price, release month, tags, genres, and platforms. It solves problems such as forecasting game success, informing game development decisions, and providing data-driven recommendations, by taking in game attributes as input and outputting a predicted score on a 0-100 scale. Ideal for game developers, publishers, and analysts seeking to make informed decisions using machine learning-driven insights.

Canonical page: https://skillsregistry.net/skills/jose-prince-game-predictor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jose-prince-game-predictor-mcp

## Description

Predicts video game scores (0-100 scale, similar to Metacritic ratings) using machine learning based on game characteristics like price, release month, tags, genres, and platforms, trained on Steam game data.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nloc23r1jk)
- **Repository:** <https://github.com/Jose-Prince/Game-Predictor-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": "jose-prince-game-predictor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jose-prince-game-predictor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jose-prince-game-predictor-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
