
minipainter
io.github.ArturSkowronski由 GitHub 账号 ArturSkowronski 发布v0.7.3更新于 Oct 24, 2026
Local-first miniature-paint inventory and cross-brand color matching for AI agents.
概览
本地优先的微缩模型涂料登记工具,让助手搜索内置涂料目录、跨品牌匹配颜色,并记录你实际拥有的涂料。
- 可以做什么
- 在内置的 1,607 款涂料目录(Citadel、Army Painter、Vallejo、AK)中按名称、用途、系列或近似颜色搜索和查看涂料,结果优先显示已拥有的涂料,并给出每款涂料的 RGB 信息。按颜色或描述匹配最接近的涂料,包括跨品牌近似色。列出、标记为已拥有或未拥有本地库存文件中的涂料,使建议优先采用你手头有的涂料。彩色终端界面和命令行在助手之外提供同一套目录与库存功能。
- 适用场景
- 适合希望助手从自己现有涂料中推荐颜色、而不是随机给色的微缩模型涂装者,也适合为某个特定色调寻找其他品牌的近似替代。
- 运行要求
- 通过 npx(npm 包 minipainter)或源码在本地以 stdio 运行;需要 Node.js 18 或更高版本,以及类 POSIX 的 shell(Linux、macOS、WSL)。目录已内置,无需配置;库存默认位于 ~/.minipainting/inventory.json,可用 INVENTORY_PATH 覆盖。未声明身份验证。
安装
在 SourceWeft 中
- 打开 控制台中的 minipainter,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
MINIPAINTER
The paint bench, indexed.
Site: arturskowronski.github.io/minipainter
minipainter is a local-first paint registry for miniature-painting workflows. It exists for one practical reason: AI paint suggestions are much more useful when they understand the paints you actually own.
The project gives you:
- a deterministic local catalog (1,607 paints across Citadel, Army Painter, Vallejo, AK) and inventory
- owned-first paint lookup and cross-brand color matching
- a colored terminal UI (TUI) that shows each paint's real RGB as a swatch
- MCP servers for both Claude Desktop and ChatGPT
- a CLI surface designed for both humans and agent workflows
The colored TUI
The ledger TUI is a real colored terminal app: a MINIPAINTER banner, gold section
frames, green OWNED / red MISSING status, and a truecolor swatch of every paint's own
RGB. Color turns on for a TTY and honors NO_COLOR.
[MINIPAINTER terminal UI — catalog]
Why This Exists
Most paint advice workflows break at the same point: they recommend paints you do not have on hand.
minipainter is built to solve that exact problem:
- keep a local record of what is in your paint rack
- search it quickly by name, role, family, and approximate color
- prepare a stable inventory foundation for a future AI skill that can inspect links, photos, and model images
The long-term goal is not “AI picks random colors for miniatures.” The goal is “AI reasons from your actual inventory first, then suggests stronger alternatives only when useful.”
Feature Highlights
Owned-first matching: lookups and recommendations can prioritize paints you already have.Catalog in repo, inventory in your home: paint records live indata/catalog/; what you own lives in~/.minipainting/inventory.jsonand follows you across projects.RGB-aware search: approximate RGB values help with nearest-color matching.Colored TUI: terminal ledger with per-paint RGB swatches and OWNED/MISSING status.Agent-friendly CLI: deterministic command output for AI integration (Claude + ChatGPT MCP).
Screenshots
Hero Screen
Full-screen TUI with banner, catalog, detail panel, and command strip.
Search View
Filtered lookup for a semantic search like bone.
Owned View
Inventory-only presentation focused on what is already bound to your collection.
CLI Flow
Representative command-line usage for search, ownership updates, and color matching.
Run with Docker (Postgres)
The whole stack — MCP/HTTP server plus a Postgres that stores your inventory — starts with
one command. Inventory persists in a named volume, so it survives container restarts and
docker compose down / recreation (only down -v wipes it).
GET /health— livenessGET /api/inventory— owned paints (from Postgres)POST /mcp— MCP for Claude Desktop ·POST /mcp/v3— MCP for ChatGPT (search/fetch)
Storage is selected by DATABASE_URL: set it (as docker-compose.yml does) for Postgres,
leave it unset to use a local JSON inventory file (unchanged local behavior). See .env.example.
Deploy
Any Docker + Postgres host works (Fly.io, Railway, a VPS…). For a one-click remote MCP
server with a managed database, the repo ships a Render Blueprint (render.yaml) that
provisions the web service and Postgres together and wires DATABASE_URL automatically:
The reference deployment warpaint-mcp.fly.dev runs on Fly.io with Fly Managed Postgres — see
docs/deploy-fly.md for the fly mpg attach + migration steps.
Install
The fastest way — run it straight from npm with npx, no clone, no install:
Or install it globally to get the short mpaint command everywhere:
The catalog is bundled, so search and matching work on first run with nothing to configure. Your inventory lives at ~/.minipainting/inventory.json, created automatically the first time you mark a paint owned (legacy ~/.warpaint/ is auto-migrated).
Requirements:
- Node.js 18 or newer
- POSIX-ish shell (Linux, macOS, WSL)
From source
To hack on it, clone and run against the working tree:
After that you have four usage modes:
- CLI / TUI — see Quickstart below
- Self-hosted HTTP server — a single Docker-friendly runtime with JSON storage and API endpoints
- Local MCP for Claude Desktop — see Claude Desktop MCP Setup
- Remote MCP for Claude mobile/web — see Remote MCP
Quickstart
Initialize the local inventory at ~/.minipainting/inventory.json:
Search paints:
Inspect one paint:
Mark paints as owned or missing:
Run semantic or color matching:
Launch the TUI:
Run the MCP server locally:
Run the self-hosted HTTP server locally:
TUI Workflow
The TUI is centered around three presentation areas:
FORGE CATALOG: visible paints in the current scopeSELECTED PIGMENT: the currently highlighted paint with provider, families, usage, and RGBRITUAL COMMANDS: the command legend for the active session
Current TUI commands:
search <text>ownedcatalogtogglequit
Recommended use:
- start with
catalog - narrow with
search bone,search black, or similar queries - inspect the selected pigment panel
- toggle ownership as your collection changes
Project Direction
Implemented now:
- local JSON registry
- starter provider catalogs for Citadel and Army Painter
- owned / missing inventory tracking
- deterministic search and color matching
- colored terminal presentation with per-paint swatches
- local MCP server for Claude Desktop
Planned later:
- a separate skill for parsing paint-set links
- image-driven inventory fill from paint bottle photos
- model-photo analysis that recommends owned paints first
- stronger cross-provider equivalents and matching hints
Technical Notes
- Built-in catalog data lives in
data/catalog/(Citadel and Army Painter, kept in version control) - Inventory file:
~/.minipainting/inventory.json— stores only owned paint ids in the form{ "version": 1, "owned": ["citadel/abaddon-black", ...] } - Self-hosted server data directory:
DATA_DIR(defaults to/datain Docker); inventory lives at<DATA_DIR>/inventory.json - The catalog and inventory are composed at runtime; saving never rewrites the catalog
- IDs are stable by convention (provider + name slug); on load, owned ids missing from the catalog are reported as warnings instead of being silently dropped
- A pre-existing project-local
.minipainting/registry.jsonnext to the inventory path is auto-migrated on first run - Legacy
.warpaint/data directories are auto-renamed to.minipainting/on first run (both home and project-local variants) - Override the inventory location at the API surface with
{ inventoryPath }or{ cwd }(the latter resolves to<cwd>/.minipainting/inventory.json, which is what the test suite uses for isolation) - RGB values are approximate reference colors for matching, not a guarantee of final painted appearance
- MCP entrypoint:
node src/mcp-server.mjs - MCP helper script:
npm run mcp - HTTP server helper script:
npm run server - README demo captures are reproducible via:
Claude Desktop MCP Setup
minipainter now includes a local MCP server so Claude Desktop can use your paint registry directly.
Example local MCP config:
After adding the server, Claude Desktop can call tools such as:
paint_searchpaint_showinventory_listinventory_mark_ownedinventory_mark_unownedmatch_colormatch_describe
Suggested local flow:
- initialize your registry once with
node src/cli.mjs catalog sync - add the MCP server to Claude Desktop
- ask Claude to search paints or update ownership through the exposed tools
Agent Skill
For Claude Code, fetch the skill straight from the site, no clone required. It ships with the
right guardrails baked in: JSON-only reads, product_format rules, failure handling.
Or save it to ~/.claude/skills/minipainter/SKILL.md to use it everywhere.
Self-Hosted Docker
The Docker image runs a single HTTP server runtime designed for self-hosted use. Build it from the repo (no image is published to a registry yet):
Or bring up the server together with Postgres in one step with docker compose up -d.
The server exposes:
GET /healthGET /api/paintsGET /api/paints/:paintGET /api/inventoryPUT /api/inventory/:paintDELETE /api/inventory/:paintPOST /api/match/colorPOST /api/match/describePOST /mcp
Optional runtime configuration:
PORT— listen port, defaults to3000DATA_DIR— persistent state directory, defaults to/datain DockerAUTH_TOKEN— protects/api/*and/mcpwithAuthorization: Bearer ...INVENTORY_SYNC_TOKEN— protects the legacy/inventorysync endpoint
Remote MCP (Claude Mobile)
For Claude mobile or web, the stdio MCP server above is not reachable. Run
minipainter-mcp-http instead — a Streamable HTTP MCP transport exposing the
same tools, plus GET/POST /inventory for syncing the local inventory.
Local smoke test
Then in another shell:
Deploy to Fly.io
The repo ships a Dockerfile and fly.toml. Full recipe in
docs/deploy-fly.md. Short version:
Connect Claude
In Claude (mobile or web), add a custom connector:
- URL:
https://<your-app-name>.fly.dev/mcp
The /mcp endpoint currently has no authentication — anyone with the URL can
call tools. Use the obscurity of the URL plus Fly's network controls for now;
add per-user auth before sharing the URL.
Environment variables
Known limitations
/mcphas no authentication yet. The bearer token only protects/inventory.- Stateless transport: no long-running SSE tool streams (the tools are fast so this is fine).
Self-hosting your own MCP
The MCP server is generic — only the CLI (mpaint) is branded. To run your
own instance:
-
Fork or clone the repo.
-
(Optional) rename your Fly app in
fly.toml. -
Create a Fly volume and set secrets:
-
(Optional) name your MCP server (shown in the MCP handshake and startup logs):
-
Deploy:
-
Register the remote in your local CLI and sync:
After this, your local inventory and the deployed MCP stay in sync via
mpaint sync push (upload local → remote) and mpaint sync pull --force
(overwrite local from remote).
License
MIT © Artur Skowronski
来源:README.md,提交 fe3fd9b
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0版本历史
1- v0.7.3最新Sep 16, 2026
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