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MCP Game Helper

MCP Server

AI tools for game balancing and simulation

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Updated Jul 28, 2025

About

An MCP server that offers AI-powered commands to help game developers analyze combat balance, simulate fights, evaluate skill impact, and assess level difficulty curves. It integrates with Cursor to streamline game design workflows.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MCP Game Helper in Action

MCP Game Helper is a specialized Model Context Protocol server designed to streamline the iterative design cycle of game developers. By exposing a suite of AI‑powered tools that analyze combat balance, simulate encounters, and evaluate level progression, it removes the need for manual spreadsheets or ad‑hoc calculations. The server integrates seamlessly with any MCP‑compatible client—such as Cursor—allowing designers to query it from within their preferred workflow, whether that’s a text editor, a design notebook, or an automated build pipeline.

At its core, the server offers eight distinct commands. Each command accepts a concise JSON payload and returns natural‑language insights, enabling developers to embed the results directly into design documents or issue trackers. For example, evaluates two entities’ health and damage to flag mismatches; produces time‑to‑kill estimates that help fine‑tune DPS curves; and models multi‑enemy engagements to inform room layout decisions. These simulation tools give designers a rapid feedback loop, cutting iteration time from days to minutes.

Beyond pure combat metrics, MCP Game Helper also addresses higher‑level design concerns. evaluates progression across levels, ensuring that the player’s growth aligns with enemy scaling. scans code snippets for potential bottlenecks, a feature that is invaluable when performance budgets are tight. Commands like and translate natural‑language behavior descriptions into actionable design artifacts, reducing the gap between concept and implementation.

The server’s value shines in collaborative environments. Because every query is stateless and returns deterministic, multiple designers can run parallel analyses without stepping on each other’s toes. Integration with version control or continuous integration systems is straightforward: a developer can script calls to the server as part of automated tests, ensuring that new code or balance changes do not inadvertently break established mechanics. In essence, MCP Game Helper transforms abstract design goals into concrete, data‑driven insights—empowering teams to iterate faster, balance more accurately, and deliver polished gameplay experiences.