Dataset Cleaner & Exporter is an MCP server with 2 tools an agent can call, among them clean_rows, list_capabilities. It answers at https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 5 of 5 times since 13 September 2026; the last check, on 19 October 2026, succeeded.
Dedupe, flatten and clean messy JSON rows (emails, phones, URLs, HTML) in one call, as JSON or CSV.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
clean_rows | Deduplicates, flattens and cleans a list of JSON rows in one call and returns spreadsheet-ready rows (or CSV text) plus a summary with exact counts: rows in, rows added by expansion, duplicates removed, rows dropped by maxItems, rows out, t Inputs: rows, dedupMode, dedupKeys, keepStrategy, similarityThreshold, flatten |
list_capabilities | Returns the exact cleaning rules (how emails, phone numbers and URLs are detected and normalized), the dedup modes and keep strategies, the order the steps run in, and the maximum rows per call. Call this first if you are unsure how a field |
Every block below points at https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp. Pick your client and copy.
claude mcp add --transport http dataset-cleaner-exporter https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp
{
"mcpServers": {
"dataset-cleaner-exporter": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"]
}
}
}{
"mcpServers": {
"dataset-cleaner-exporter": {
"url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
}
}
}{
"servers": {
"dataset-cleaner-exporter": {
"type": "http",
"url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
}
}
}{
"context_servers": {
"dataset-cleaner-exporter": {
"url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
}
}
}{
"mcpServers": {
"dataset-cleaner-exporter": {
"serverUrl": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
}
}
}{
"mcpServers": {
"dataset-cleaner-exporter": {
"url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
}
}
}name: Dataset Cleaner & Exporter
version: 0.0.1
schema: v1
mcpServers:
- name: Dataset Cleaner & Exporter
type: streamable-http
url: https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp{
"mcpServers": {
"dataset-cleaner-exporter": {
"httpUrl": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
}
}
}{
"mcpServers": {
"dataset-cleaner-exporter": {
"type": "http",
"url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
}
}
}{
"mcpServers": {
"dataset-cleaner-exporter": {
"url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fdataset-cleaner-exporter.nerolabs.workers.dev%2Fmcp&type=streamable_http&id=dataset-cleaner-exporter&name=Dataset%20Cleaner%20%26%20Exporter
It answered our last check on 19 October 2026 in 201 ms. Over 5 checks since 13 September 2026 it answered 5. Status here comes from Neuronto's own probes, not from the publisher.
2, as returned by the server's own tools/list on 24 September 2026: clean_rows, list_capabilities.
It answered our last check on 19 October 2026 in 201 ms. Over 5 checks since 13 September 2026 it answered 5.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.nero-engine. Endpoint host: dataset-cleaner-exporter.nerolabs.workers.dev. ARD identifier: urn:air:io.github.nero-engine:mcp:dataset-cleaner-exporter.
First indexed 13 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.