Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract
io.github.Nero-Engine/dataset-ai-enrich
Run one LLM instruction over every row to classify, extract or summarise into new columns.
Description as published in the official MCP registry.
Answers, but requires sign-in before the handshake. Checked 2026-10-05.
What we measured
| Endpoint | https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich | registry |
|---|---|---|
| Handshake | Answers, but requires sign-in before the handshake (18 ms) | our check, 2026-10-05 |
| Registry version | 0.1.0 · active · updated 2026-09-13 | registry |
Signed reports
No signed reports yet. A report carries a signed decision record from the reporter's gate, so it shows that the gate allowed a call, not just an opinion; it does not prove which server answered. How to file one.
Connect
claude mcp add --transport http dataset-ai-enrich https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrichCommands are built from the registry entry. Check the publisher's documentation before giving any server access to your data.
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Agents can read this page as data: MCP endpoint https://openforallofus.com/api/mcp, tool get_tool with name io.github.Nero-Engine/dataset-ai-enrich.