Combines a C-based headless LVGL 9.2 simulator with a Node.js MCP server for visual ESP32 UI development feedback. Compiles C code snippets in a headless simulator on Windows, captures PNG screenshots and JSON widget tree data, and returns them through MCP. Supports common ESP32 display resolutions and enables AI assistants to provide immediate visual feedback during UI development without deploying to physical hardware. Requires Visual Studio Build Tools and CMake on Windows.
Cognium trust score
61%
Tier
Scanned
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-19.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.