Official description7 sourcesMCP servers8d ago
26048608982lp-ai/gamenumerics
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.
View on GitHub ↗Direct link · no redirect page
Config template (adjust for your client)
claude mcp add gamenumerics -- npx -y gamenumerics
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 1 ★ · 26048608982lp-ai/gamenumerics · read from the repository page · (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list · type: MCP server
- Harvest history
- first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
- Score
- score 703 · 1 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
26048608982lp-ai/gamenumerics；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.Third-party quality signals
gamenumerics
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> **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
> 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
- Source
- awesome · https://github.com/26048608982lp-ai/gamenumerics
- Browse by field
- MCP servers
- Traction
- 1 ★
- added
- yesterday
More in MCP servers
Filed under
Every tag opens the full list for that filter. Counts are the live catalogue figures.