Data Profiler for Grok
io.github.ridadata/mcp-data-profiler
Profile local CSV, Parquet, JSON and Excel files into a compact data-quality summary.
client:Grok
transport:stdio
runtime:pypi
Install Data Profiler in Grok
.mcp.json (in your project root)
{
"mcpServers": {
"mcp-data-profiler": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-data-profiler"
]
}
}
}
Grok Build reads Claude Code's .mcp.json and Claude Desktop's config unchanged, so a server you have already set up there needs nothing new. The Grok web app and X integration do not take custom servers. Grok docs