What are the prerequisites?
Python 3.8+ and Google Chrome browser are required.
@m2rads
基本情報
MCP Server to connect your MCP host to V0.dev directly
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"v0-mcp": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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