io.github.Nero-Engine/dataset-ai-enrich
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Publisher-provided title
Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract
Publisher-provided description
Run one LLM instruction over every row to classify, extract or summarise into new columns.
Summary by lookupd
Applies one LLM instruction across every row of a dataset to classify, extract, or summarise values into new columns.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http dataset-ai-enrich 'https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich'
Codex, remote (streamable-http)
codex mcp add dataset-ai-enrich --url 'https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich'
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"dataset-ai-enrich": {
"url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Details
- Version: 0.1.0
- Transports: streamable-http
- Uptime (7 days): 100%
- First indexed:
- Last seen in registry:
- Website: https://apify.com/nerolabs/dataset-ai-enrich
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