jpglens MCP integration enables AI agents to perform sophisticated UI analysis through standardized Model Context Protocol interfaces. Give your AI agents the power of vision-based UI testing with production-grade architecture.
8 production-ready tools including run_playwright_analysis, batch_analyze, run_journey, and more. Full Model Context Protocol compliance.
Enable AI agents to "see" and analyze user interfaces just like humans do. Understand context, accessibility, and user experience patterns.
Stdio for direct integration and SSE HTTP bridge for web-based agents. Choose the transport that fits your architecture.
Exponential backoff with jitter for robust operations. Configurable retries (0-5) with graceful error handling.
JSONL for local analysis and S3 for cloud storage. Structured issues format for automated fixes by AI agents.
Docker support, CI/CD pipelines, comprehensive testing, and enterprise-grade error handling. Ready for scale.
npm install -g jpglens-mcp-server@1.1.0Cursor → Settings → Features → MCP → Add Server
{
"servers": {
"jpglens": {
"command": "npx",
"args": ["jpglens-mcp-server"],
"transport": "stdio"
}
}
}Your AI agents can now perform UI analysis through natural language!
npm install -g jpglens-mcp-server@1.1.0
npx jpglens-mcp-server # Start stdio server
npx jpglens-mcp-server-sse # Start SSE HTTP bridgedocker run -p 3333:3333 \
-e JPGLENS_API_KEY=your_key \
-e JPGLENS_REPORTER=both \
jpglens-mcp-server:1.1.0