Gamenumerics

Name: Gamenumerics
Author: 26048608982lp-ai

by 26048608982lp-aiversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.26048608982lp-ai/gamenumerics

Install

Overview

Description from the maker (original English)

Game numerical design & balance auditing MCP server — 17 deterministic tools, zero LLM guessing.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 370/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Games, sports, food & learning

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: GND_WORKSPACES_DIR

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "gamenumerics": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-gamenumerics"
      ],
      "env": {
        "GND_WORKSPACES_DIR": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add gamenumerics --env GND_WORKSPACES_DIR=your-value -- npx -y mcp-server-gamenumerics

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "gamenumerics": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-gamenumerics"
      ],
      "env": {
        "GND_WORKSPACES_DIR": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gamenumerics": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-gamenumerics"
      ],
      "env": {
        "GND_WORKSPACES_DIR": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GND_WORKSPACES_DIR env
Workspace root directory where imported xlsx tables land (default: ~/.gamenumerics/workspaces)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account 26048608982lp-ai, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Games, sports, food & learningi

More stars than 0% of the other 1309 servers in this category
Published to the registry more recently than 30% of the other 1309 servers in this category
Basic checks equal to or better than 100% of the other 1309 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Gamenumerics safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Kerbside F1, Open Food Facts MCP, Modrinth MCP

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Modrinth MCP

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

gamenumerics

Deterministic numeric engines for game design — exposed to your AI coding agent via MCP.

Import xlsx config tables, audit growth curves, run battle/gacha simulations, and reverse-engineer the formulas behind game spreadsheets. Every numeric answer comes from zero-dependency pure-function engines — zero LLM guessing.

Who it's for: game designers and solo/small teams doing roguelike / deckbuilder balance work, spreadsheet-driven numerical design, or live-ops tuning audits — no engine integration required, just an xlsx export of your config tables.

Quick start (MCP server)

The fastest way to use these engines is through mcp-server-gamenumerics — a stdio MCP server exposing 17 read-only tools to Claude Code, Cursor, ZCode, or any MCP host:

npx -y mcp-server-gamenumerics

{ "mcpServers": { "gamenumerics": { "command": "npx", "args": ["-y", "mcp-server-gamenumerics"] } } }

Full per-host config (Claude Code / Cursor / ZCode), the 17-tool reference, and the performance baseline live in mcp-server/README.md.

What's inside

Path	What it is
`lib/engine/formula-engine/`	19 pure-function numeric engines: battle simulation, gacha probability + Monte Carlo, EHP×EDPS power model, growth projection, economy production/consumption, progression curves, level systems, difficulty mirroring
`lib/table/`	xlsx/spreadsheet normalization: dual-row header merge, column pattern detection (arithmetic/geometric), base×coefficient relation inference, Theil-Sen robust curve fitting
`lib/agent/tools/`	Tool definitions (JSON Schema + handlers) wrapping the engines — the read/audit surface
`mcp-server/`	The npm-distributed stdio MCP server (`mcp-server-gamenumerics`, esbuild single-file bundle)
`scripts/lib/workspace-import.ts`	xlsx → normalized JSON workspace import pipeline

Tool surface (17 = 14 mapped + 3 meta)

import_xlsx · list_tables / read_table · battle_simulate / simulate_gacha / compute_power / power_curve / eval_formula / audit_column / infer_column_rule / infer_table_relation · grade_workspace / profile_table / infer_foreign_keys · list_workspaces / set_workspace / read_memory

Read-only by design — write tools stay behind the web workbench's human-in-the-loop confirm flow (separate product, not part of this repo).

Development

npm install

npm test # vitest: engine + table + mcp-server suites npm run check # tsc --noEmit (lib + scripts) npm run mcp:check # tsc for mcp-server (own tsconfig) npm run mcp:build # esbuild bundle → mcp-server/dist/index.js

License

MIT

Gamenumerics

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Games, sports, food & learningi

Common questions

Alternatives

Kerbside F1

Open Food Facts MCP

Modrinth MCP

README from the maker

gamenumerics

Quick start (MCP server)

What's inside

Tool surface (17 = 14 mapped + 3 meta)

Development

License