Game numerical design & balance auditing MCP server — 17 deterministic tools, zero LLM guessing.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for gamenumerics, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Documentation Overview
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:
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).
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