Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract MCP Server

by nero-engine Your server? Claim it

answering

Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract is answering right now. Last checked 4 min ago.

Run one LLM instruction over every row to classify, extract or summarise into new columns.

Uptime history 5 days of history

5 days agonow

100.0%

Uptime 24h

92 of 92 checks

—

Tools

hidden behind auth

365 ms

Response time

average over 24h

API key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add dataset-ai-enrich --transport http https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "dataset-ai-enrich": {
      "url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
    }
  }
}

~/.codex/config.toml

[mcp_servers.dataset-ai-enrich]
url = "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"

.cursor/mcp.json

{
  "mcpServers": {
    "dataset-ai-enrich": {
      "url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "dataset-ai-enrich": {
      "url": "https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, but you need an API key from its owner to call it.

Endpoints

URL	Transport	State	Latency	Checked
https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrich	streamable-http	needs key	327 ms	4 min ago

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Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract — questions

Answers built from our own checks of this server.

Why is there no tool list for Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract?

The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.

Is Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 365 ms. The bar chart above shows every period we have measured.

How do I connect Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own key: it refuses anonymous clients.

Does Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract need an API key?

Yes. Every time we knock, Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.

How fast is Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract?

It answers our handshake in 365 ms on average, which is faster than 42% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.