Gamenumerics
Game numerical design & balance auditing MCP server — 17 deterministic tools, zero LLM guessing.
Runs on your machine from its package; the steps are below.
What it does
- Reads
- Writes
- High impact
At most: only reads or looks up information.
What it costs
FreeOdel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
npx -y mcp-server-gamenumerics
MCP client config
{
"mcpServers": {
"gamenumerics": {
"command": "npx",
"args": [
"-y",
"mcp-server-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
