veddata for Gemini CLI
io.github.sanzineo/veddata
MCP server for AI agents: discover a web page's data sources and drive the page to reach them.
client:Gemini CLI
transport:stdio
runtime:pypi
Install veddata in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"veddata": {
"command": "uvx",
"args": [
"veddata"
],
"env": {
"HEADLESS": "<HEADLESS>",
"BROWSER_PATH": "<BROWSER_PATH>"
}
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs