Run one LLM instruction over every row to classify, extract or summarise into new columns.
{ "mcpServers": { "io.github.nero-engine-dataset-ai-enrich": { "url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich", "headers": {} } }}Power your agent
The publisher's own URL. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrichThe Claude button above opens Claude with the name and URL filled in. You still confirm it there.
claude mcp add --transport http io.github.nero-engine-dataset-ai-enrich https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrichRun in a terminal.
{ "mcpServers": { "io.github.nero-engine-dataset-ai-enrich": { "command": "npx", "args": [ "-y", "mcp-remote", "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich" ] } }}claude_desktop_config.json
Remote URL or a command on your machine? How the two installs differ
Run on PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
LaunchTools
No tool list yet. Remote servers get one after the first health check.
FAQ
Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
No required environment variable is listed on this record.
Dataset AI Enrichment: Bulk LLM & GPT Classify And Extract is reached over HTTP.
Last checked 2026-11-09. Run one LLM instruction over every row to classify, extract or summarise into new columns.
From the publisher
README is not crawled yet. No repository on file.
Run one LLM instruction over every row to classify, extract or summarise into new columns.