Storeshots MCP server

storeshots-mcp

Ship App Store and Google Play screenshots without opening a design tool.

storeshots-mcp turns raw app screenshots into finished store-listing visuals — device frames, benefit-driven headlines, brand backgrounds, and exact store dimensions for iOS and Android. It runs as an MCP server, so the AI agent you already use writes and translates the copy while storeshots renders the pixels. No design tool, no subscription, no API keys.

Real screens from two shipped apps: bombo (panels 1–3) and Studio Zero (panel 4). Panel 3 is the Android preset with Turkish headlines, uppercased with locale-correct İ and Ğ.

The idea

Store screenshots are two jobs pretending to be one. There's a creative job (what to say, which screen sells which feature, how to phrase it in six languages) and a production job (frames, typography, exact pixel dimensions, no alpha channel). Design tools make you do both by hand; screenshot SaaS locks the production job behind a subscription.

storeshots-mcp splits them and gives each to whatever is best at it:

Because the render path is pure and local, the same inputs always produce the same pixels — no model in the loop, nothing uploaded anywhere.

Install

Claude Code

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

Cursor / Windsurf / Claude Desktop / Antigravity / VS Code — add to your MCP config:

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

Codex CLI — add to ~/.codex/config.toml:

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

It's a plain stdio MCP server with zero client-specific behavior, so it works in any MCP-capable agent. No server at all? The same engine is a CLI: npx storeshots --help.

Use it

Point your agent at your raw screenshots and describe the set you want:

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

The agent reads the screens, writes the headlines, and calls generate_set once per platform and language. You get back finished PNGs, already the right size, ready to upload. Ask for changes in plain language and it re-renders only what moved.

What it produces

5 presets, each at the exact size its store requires:

Shortened. The full README is on GitHub.