Dataset Filter & Transform MCP Server

by nero-engine Your server? Claim it

answering

Dataset Filter & Transform is answering right now. Last checked 2 min ago. It exposes 2 tools. Last commit 13 Sep 2026.

Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit.

Uptime history 51 days of history · worst day 95%

51 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

103 ms

Response time

average over 24h

Stars

last commit 13 Sep 2026

Nothing serious here today

Today is the operative word: we check Dataset Filter & Transform 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 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add dataset-filter-transform --transport http https://dataset-filter-transform.nerolabs.workers.dev/mcp

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

https://dataset-filter-transform.nerolabs.workers.dev/mcp

~/.codex/config.toml

[mcp_servers.dataset-filter-transform]
url = "https://dataset-filter-transform.nerolabs.workers.dev/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "dataset-filter-transform": {
      "url": "https://dataset-filter-transform.nerolabs.workers.dev/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "dataset-filter-transform": {
      "type": "http",
      "url": "https://dataset-filter-transform.nerolabs.workers.dev/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

capabilities

list_capabilities

Returns every filter operator and transform operation this server supports, the order the pipeline runs in, and the maximum rows per call. Call this first if you are unsure what is available. Free, processes no data.

process

process_rows

Cleans a list of JSON rows in one call: transforms each row, filters out the rows you do not want, then optionally sorts, de-duplicates and limits them. Returns the kept rows plus a summary of exactly what was removed and why. Use it to reshape scraped or API data before passing it on: rename and drop fields, cast strings to numbers, compute new fields with arithmetic, extract with regex, then keep only the rows that match your rules. Transforms run before filters, so you can filter on a field you just created.

Endpoints

URL	Transport	State	Latency	Checked
https://dataset-filter-transform.nerolabs.workers.dev/mcp	streamable-http	answering	65 ms	2 min ago

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Dataset Filter & Transform — questions

Answers built from our own checks of this server.

What can Dataset Filter & Transform do?

It exposes 2 tools, read directly from the server on our last check. Among them: list_capabilities, process_rows. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Dataset Filter & Transform 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 103 ms. The bar chart above shows every period we have measured.

How do I connect Dataset Filter & Transform?

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.

Does Dataset Filter & Transform need an API key?

No. Dataset Filter & Transform completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Dataset Filter & Transform?

It answers our handshake in 103 ms on average, which is faster than 92% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Dataset Filter & Transform open source?

We cannot say either way: 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.