Dataset AI Enrichment: Bulk LLM & GPT Classify and Extract
io.github.Nero-Engine/dataset-ai-enrich · 0.1.0
Run one LLM instruction over every row to classify, extract or summarise into new columns.
Nobody here has read this server's code, because it publishes none. The description above is the maker's own, from the registry. A connection test shows whether it answers and what tools it says it has; it never calls a tool, so it cannot show what one does with your data.
Where it sits in the directory's order
What can be seen from outside, weighed as the directory publishes.
Observable signals: 40 of 100 points (at most 60 here)
| Input | Points | What was seen |
|---|---|---|
| Source published | held at 0 | No entry here publishes source: that is what puts it in this directory. |
| Licence stated | held at 0 | With no files, there is nothing for a licence to be stated in or held against. |
| Advisory state | held at 0 | Advisory databases index packages, and these entries publish none, so there is nothing to look up. |
| Auth declared | 15 of 15 | The registry entry declares a key or a token. |
| Latest connection test reached it | 0 of 20 | Not tested yet. |
Where it answers
https://mcp.apify.com/?tools=nerolabs/dataset-ai-enrichstreamable-httpAuthorizationrequired, secret: Your Apify API token, sent as 'Bearer <token>'. Runs are billed per event to your Apify account.
Connection test
The MCP handshake, then a request for the tool list, with no key and no data of yours. Run nightly, and by anyone, at most once every ten minutes per server.
Not tested yet. The nightly run reaches every server in turn, or you can run the first test now.
How this entry becomes a listing
For the maker. The catalogue lists what it can read, and this server publishes nothing to read yet. There are two routes, and only the first is open today.
Publish the source Open today
- Put the server's source in a public repository on github.com, with a licence.
- Keep a server.json in that repository naming this server,
io.github.Nero-Engine/dataset-ai-enrich, and declare the repository in it:"repository": { "url": "https://github.com/owner/repo", "source": "github" }, adding"subfolder"when the server lives in a folder. - Publish that version to the official MCP registry.
- The nightly registry sweep records the declaration. This page stays, dated, and says the source is declared but not yet read.
- The catalogue reads declared repositories at a pinned commit, in batches run by hand, and lists the servers that meet the batch's rules (among them a server.json at that commit naming the server, an https endpoint and a licence). When it lists this server, this page links to the listing. There is no schedule, so no date can be promised.
List it through the maker studio Not open yet
From the official MCP registry, last updated there 25 days ago. The registry entry · apify.com