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 3 min ago.

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

Uptime history 50 days of history · worst day 99%

50 days agonow

98.9%

Uptime 24h

90 of 91 checks

—

Tools

hidden behind auth

369 ms

Response time

average over 24h

API key

Access

streamable-http

Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract missed 2 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 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'

Settings → Connectors → Add custom connector, then paste this address

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

{
  "servers": {
    "dataset-ai-enrich": {
      "type": "http",
      "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	347 ms	3 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: 98.9% 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 90 of 91 checks got a reply (98.9%), average response time 369 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 in the form 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 369 ms on average, which is faster than 36% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.