What are the prerequisites?
Python 3.8+ and Google Chrome browser are required.
@m2rads
Basic information
MCP Server to connect your MCP host to V0.dev directly
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"v0-mcp": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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