Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract for Grok
io.github.nero-engine/dataset-ai-enrich
Run one LLM instruction over every row to classify, extract or summarise into new columns.
client:Grok
transport:streamable-http
Install Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract in Grok
.mcp.json (in your project root)
{
"mcpServers": {
"dataset-ai-enrich": {
"type": "http",
"url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
}
}
}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