What are the prerequisites?
Python 3.8+ and Google Chrome browser are required.
@m2rads
基本信息
MCP Server to connect your MCP host to V0.dev directly
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"v0-mcp": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A tool that connects to your Chrome browser, navigates to v0.dev, submits prompts, and captures all network responses—including streamed AI responses—saving them for later analysis or use. It decodes the Vercel AI SDK streaming format and works with Python 3.8+ and Google Chrome.
Install dependencies and Playwright, then run python main.py with a custom prompt (--prompt "...") or use the default. Additional commands: list to see captured files and extract to decode and view a specific capture file.
Python 3.8+ and Google Chrome browser are required.
Run `python main.py monitor --prompt "your prompt"`. The script connects to Chrome, navigates to v0.dev, submits the prompt, and saves captured network data to the `captures` directory.
It saves four file types: `sse_stream_*.jsonl` (raw SSE data), `sse_decoded_*.jsonl` (decoded JSON events), `assembled_content_*.txt` (assembled text), and `full_response_*.txt` (cleaned final response).
Use `python main.py extract captures/full_response_1234567890.txt` to parse the file and display the clean text in the terminal.
Close all Chrome instances and let the script launch a new one. Increase the monitoring time in `tools.py` if needed.
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