@monteslu
基本信息
description: "An MCP server that enables LLMs to 'see' what's happening in browser-based games and applications through vectorized canvas visualization and debug information.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"vibe-eyes": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@monteslu/vibe-eyes",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
An MCP server that enables LLMs to “see” what’s happening in browser-based games and applications through vectorized canvas visualization and debug information. It uses a client-server architecture with WebSockets to capture canvas content, console logs, errors, and unhandled exceptions, then exposes that data to LLMs via the Model Context Protocol.
Install automatically via Smithery (npx -y @smithery/cli install @monteslu/vibe-eyes --client claude) or manually (clone repo, npm install). Add the client scripts to your browser application and initialize with initializeVibeEyes({serverUrl, captureDelay, autoCapture}). Register the MCP server with your AI agent (e.g., claude mcp add). The LLM then calls the tool getGameDebug({ includeSvg: true/false }) to receive visual and debug information.
getGameDebug toolIt captures canvas content, console logs, and unhandled exceptions from a browser game or app, sends that data via WebSockets to a Node.js server, vectorizes the images into SVG, and makes everything available to an LLM through an MCP tool called `getGameDebug`.
Add the Socket.IO client and the `vibe-eyes-client` script to your HTML page, then call `initializeVibeEyes({ serverUrl, captureDelay, autoCapture })`. The client automatically finds canvas elements, captures data, and sends it to the server.
The client is designed to minimize performance impact. Capture frequency is configurable via `captureDelay`, and the server processes images sequentially to prevent overload. Canvas data‑URL creation can be CPU‑intensive, so you can adjust or manually trigger captures.
The `getGameDebug` tool returns recent console logs, console errors, unhandled exceptions (with stack traces), and an optional vectorized SVG approximation of the canvas. Timing information is included to correlate visual state with log entries.
No authentication is documented. The server uses WebSocket (Socket.IO) for client communication and HTTP for direct `/latest` endpoint access. MCP tools are available over HTTP to the LLM agent. No special security or authorization steps are described.
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