storeshots-mcp

Store-ready App Store and Google Play screenshots, generated by your AI agent.

An MCP (Model Context Protocol) server that turns raw app screenshots into polished, pixel-perfect store listing visuals: device frames, bold benefit-driven headlines, brand colors, and exact store dimensions for iOS and Android. Your agent writes the copy, storeshots renders the pixels.

Why

Making store screenshots is the least fun part of shipping an app. Design tools are manual, screenshot SaaS products are paid and template-locked, and fastlane frameit only frames iOS devices without any marketing layer.

storeshots-mcp takes a different approach. It splits the job the way it should be split:

No API keys. No accounts. No image-generation costs. Everything renders locally and deterministically, so the same input always produces the same output.

Quickstart

Claude Code

claude mcp add storeshots -- npx -y storeshots-mcp

Claude Desktop / Cursor / Windsurf / Antigravity / VS Code

Add to your MCP config (claude_desktop_config.json, .cursor/mcp.json, or equivalent):

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

Codex CLI

Add to ~/.codex/config.toml:

[mcp_servers.storeshots]
command = "npx"
args = ["-y", "storeshots-mcp"]

storeshots-mcp is a plain stdio MCP server with zero client-specific behavior, so it runs in any MCP-capable agent: Claude Code, Claude Desktop, Cursor, Windsurf, Antigravity, Codex, Gemini CLI, VS Code, Zed, and whatever ships next week.

Prefer no server at all? The same engine is available as a CLI:

npx storeshots compose --preset ios-phone --bg "#E31837" \
  --verb "TRACK" --desc "YOUR DAILY MOOD" \
  --screenshot ./raw/home.png --output ./out/en_01.png

Then just ask:

"Take the screenshots in ./raw-shots and generate a full App Store and Play Store set. Brand color #E31837, 6 screenshots per platform, English and Turkish."

What you get

• 5 presets with exact store-required dimensions:

  Preset	Store	Dimensions
  ios-phone	App Store, iPhone 6.9"	1320 × 2868
  android-phone	Google Play, phone	1080 × 1920
  ipad-13	App Store, iPad Pro 13"	2064 × 2752
  android-tablet	Google Play, 10" tablet	1600 × 2560
  play-feature-graphic	Google Play, feature graphic (landscape header)	1024 × 500

• Device frames for iPhone (dynamic island), Pixel-style Android (punch hole), iPad, and Android tablet, drawn programmatically at exact scale

• Benefit-first headline layout: a bold action verb plus a short descriptor, sized and positioned for store shelf impact

• Smart contrast: text color flips between light and dark based on background luminance

• Full Unicode typography: bundled OFL-licensed font renders İ, Ğ, Ş, Ü, ß, and accented characters correctly in all caps

• Showcase composer: one wide preview image of the whole set, ready for your repo, tweet, or client deck

Tools

Every tool returns file paths plus a structured summary, so the agent can review output and iterate.

Multi-language sets

Translation happens in the agent, not the server. Generate your English set, then ask for any locale:

"Now generate the same set in Turkish and German."

The agent translates the headlines idiomatically, and storeshots renders them with correct locale-specific casing and special characters. Output follows a clean convention:

output/
  en/ios-phone/en_01.png … en_06.png
  tr/ios-phone/tr_01.png … tr_06.png
  de/android-phone/de_01.png … de_06.png

Claude Code skill (optional)

The MCP tools work on their own, but the bundled skill adds a guided workflow: benefit discovery from your codebase, headline approval before rendering, per-language sets, and upload guidance. Install it with:

mkdir -p ~/.claude/skills/storeshots
curl -o ~/.claude/skills/storeshots/SKILL.md \
  https://raw.githubusercontent.com/mtbun/storeshots-mcp/main/skill/SKILL.md

Then ask Claude Code for "store screenshots for this app" and it walks the full flow.

Design principles

1. Deterministic: no AI image generation in the render path. Same input, same pixels, every time.
2. Zero config: no API keys, no sign-ups, works fully offline.
3. Store-correct by construction: output dimensions are enforced, not suggested.
4. Agent-native: tools expose structured data, and the copywriting intelligence stays in the model where it belongs.

Roadmap

• Claude Code skill layer: guided benefit-discovery workflow on top of the MCP tools
• Play Store feature graphic preset (1024 × 500)
• Layout variants: device-bottom, device-tilted, text-bottom
• Custom device frame support
• Panoramic sets (one background flowing across multiple screenshots)

Contributing

Issues and PRs are welcome. See AGENTS.md for architecture and conventions; it is written for both human contributors and coding agents.

License

MIT