@redf0x1
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"camofox-mcp": {
"command": "docker",
"args": [
"run",
"-d",
"-p",
"9377:9377",
"--name",
"camofox-browser",
"ghcr.io/redf0x1/camofox-browser:latest"
]
}
}
}export cookies from an active tab and save them under a profile name
load a saved profile into an active tab (imports cookies)
list all saved profiles and metadata
delete a saved profile permanently
Camofox MCP is an MCP (Model Context Protocol) server that wraps the CamoFox Browser Server to give AI agents a web automation layer with anti-detection fingerprinting. It is for developers and AI agent users who need to browse, interact, and automate websites without being blocked by bot detection systems.
Camofox MCP requires two components: camofox-browser (a headless anti-detection Firefox server) and camofox-mcp (the MCP bridge). Start the browser via Docker, npx camofox-browser@latest, or from source. Then configure an MCP-compatible client (VS Code, Claude Desktop, or Cursor) with a JSON config that sets the CAMOFOX_URL environment variable to http://localhost:9377. After setup, restart your editor and paste the provided verification prompt into your AI agent.
Camofox MCP requires the CamoFox Browser Server to be running (via Docker, npx, or source) and either Docker or Node.js 18+. The MCP client must be an MCP-compatible editor (VS Code, Cursor, Claude Desktop).
Camofox MCP adds anti-detection fingerprinting, passes bot detection tests, offers 14 search engine macros, and provides cookie import/export. Playwright MCP lacks these features but has simpler setup.
Camofox MCP exposes 35 tools, uses a REST API client architecture (not direct browser control), supports session persistence, search macros, CSS selector fallback, and is actively maintained.
Browser data (sessions, cookies, profiles) lives inside the CamoFox Browser Server instance. The MCP server communicates with it over REST and does not store data itself.
Camofox MCP uses stdio transport for MCP communication. Authentication is not mentioned; the browser server listens on HTTP (port 9377) and is assumed to be local or network-restricted. Some tools (e.g., `camofox_evaluate_js`) may require an API key configured server-side.
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