Enables AI assistants to view and analyze screenshots from React Native/Expo applications for AI-powered mobile UI development.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ExpoSnap show me the latest screenshot from the login screen"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol (MCP) server that enables AI assistants to view and analyze screenshots from React Native/Expo applications. Seamlessly integrates with Claude, Cursor, VS Code, and other MCP-compatible editors for AI-powered mobile UI development.
Related MCP server: Screen View MCP
1. Add MCP server to your IDE
claude mcp add exposnap -- npx -y exposnapAdd to .cursor/mcp.json:
{
"mcpServers": {
"exposnap": {
"command": "npx",
"args": ["-y", "exposnap"]
}
}
}Add to .vscode/mcp.json:
{
"servers": {
"exposnap": {
"type": "stdio",
"command": "npx",
"args": ["-y", "exposnap"]
}
}
}Settings → Developer → Edit Config:
{
"mcpServers": {
"exposnap": {
"command": "npx",
"args": ["-y", "exposnap"]
}
}
}2. Add to your Expo app
npm install exposnap3. Configure your React Native app
import { ScreenshotWrapper } from 'exposnap';
export default function App() {
return (
<ScreenshotWrapper>
<YourApp />
</ScreenshotWrapper>
);
}The wrapper automatically discovers your MCP server and provides a draggable camera icon for manual screenshot capture.
We welcome contributions! See CONTRIBUTING.md for details.
MIT - see LICENSE for details.
This server cannot be deployed
Screenshot, PDF and HTML-to-image rendering API so Claude and Cursor can see any web page.
Screenshot, PDF and HTML-to-image rendering API so Claude and Cursor can see any web page.
OCR, transcription, file extraction, and image generation for AI agents via MCP.
Run, debug, and triage tests from your IDE using natural language, no dashboard switching, no manual data transfers. The TestMu AI (formerly LambdaTest) MCP Server is a single remote server exposing four tool suites: HyperExecute — analyze your project, generate YAML configs and test runner commands, then monitor jobs and sessions. Automation — pull a TestID's details plus command, network, and console logs into one chat for instant root-cause analysis. Includes mobile app upload. SmartUI — explain pixel, layout, DOM, and perceptual changes in a visual regression run, with context-aware React/HTML/CSS fixes. Accessibility — audit any public URL or a local React app against WCAG and get ready-to-apply remediation steps. Connects over https://mcp.lambdatest.com/mcp using OAuth 2.1 — no API keys in your config. One-click install in Cursor; works with Claude, GitHub Copilot, Cline, and any MCP client. Tests execute on the TestMu AI cloud: 3,000+ browsers and 10,000+ real devices.
