io.github.ynnickw/applaunchflow is an MCP server that create app-store screenshots, social graphics, promo videos, and animated device mockups. Its tool list has not been published yet over http, requires no API key, and scores 58/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-ynnickw-applaunchflow": {
"args": [
"-y",
"applaunchflow"
],
"command": "npx"
}
}
}Are you the author?
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MCP server for AppLaunchFlow — create App Store & Google Play screenshots with AI.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'applaunchflow' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked applaunchflow against OSV.dev.
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MCP server for AppLaunchFlow — create App Store & Google Play screenshots with AI.
AppLaunchFlow is a hosted MCP connector with OAuth 2.1 and PKCE. No API key, local token, or scoped npm package name is required.
The shortest setup command configures the hosted connector and opens OAuth:
npx -y applaunchflow connect codex
Useful follow-up commands:
npx -y applaunchflow status
npx -y applaunchflow disconnect
The equivalent native Codex commands are:
codex mcp add applaunchflow --url https://mcp.applaunchflow.com/mcp
codex mcp login applaunchflow
codex mcp get applaunchflow
codex mcp remove applaunchflow
The same one-command setup is available for Claude Code. It replaces a legacy AppLaunchFlow entry when necessary, adds the hosted HTTP connector, and opens OAuth sign-in:
npx -y applaunchflow connect claude
The equivalent native Claude Code commands are:
claude mcp add --transport http applaunchflow https://mcp.applaunchflow.com/mcp
claude mcp login applaunchflow
npx -y applaunchflow connect chatgpt
Paste the displayed URL when creating a custom MCP connector in ChatGPT. The
same URL is also available at any time with npx -y applaunchflow url.
Use this Streamable HTTP endpoint and enable OAuth when prompted:
https://mcp.applaunchflow.com/mcp
This repository is also a distributable Claude Code plugin. Its
.claude-plugin/plugin.json manifest bundles the hosted OAuth connector from
.mcp.json, so users do not need to copy a server configuration manually.
To validate or try the plugin directly from a clone:
claude plugin validate . --strict
claude --plugin-dir .
Claude Code starts the hosted connector when the plugin is enabled and opens the AppLaunchFlow OAuth flow when authentication is required.
The public Streamable HTTP service uses OAuth 2.1 authorization code flow with PKCE through the AppLaunchFlow dashboard.
npm ci
npm run build
APPLAUNCHFLOW_BASE_URL=https://dashboard.applaunchflow.com \
APPLAUNCHFLOW_MCP_PUBLIC_URL=https://mcp.applaunchflow.com \
PORT=8787 \
npm run start:http
Public endpoints:
https://mcp.applaunchflow.com/mcphttps://mcp.applaunchflow.com/.well-known/oauth-protected-resourcehttps://mcp.applaunchflow.com/healthzAppLaunchFlow is published as io.github.ynnickw/applaunchflow in the official
MCP Registry. The checked-in server.json is the canonical
registry manifest and points clients to the hosted OAuth connector.
Registry publication runs automatically from GitHub Actions when the manifest
changes on main. Keep the manifest version aligned with package.json; the
test suite enforces this before publication.
APPLAUNCHFLOW_MCP_PUBLIC_URL may be either the origin or the full /mcp
URL; both services normalize it to the same canonical resource URL. Set
APPLAUNCHFLOW_MCP_PUBLIC_URL=https://mcp.applaunchflow.com/mcp and
NEXT_PUBLIC_APP_URL=https://dashboard.applaunchflow.com on the dashboard.
The included Dockerfile produces a non-root OCI image for the hosted server.
The MCP host and dashboard must both be served through public HTTPS in
production. Do not expose the Node process directly without a TLS-terminating
platform or reverse proxy.
Screenshot and social-graphics styles are prepared once for the selected app screenshots, then the chosen style is applied from cache. This lets users compare styles without paying for another AI call when they choose one.
For App Store screenshots:
list_source_screenshotsprepare_screenshot_styles with 3-7 ordered paths