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Dataset Cleaner & Exporter MCP Server

answering

Dataset Cleaner & Exporter is answering right now. Last checked 3 min ago. It exposes 2 tools. Last commit 13 Sep 2026.

Dedupe, flatten and clean messy JSON rows (emails, phones, URLs, HTML) in one call, as JSON or CSV.

Uptime history 51 days of history · worst day 93%
51 days agonow
100.0%
Uptime 24h
91 of 91 checks
2
Tools
read from the server
104 ms
Response time
average over 24h
1
Stars
last commit 13 Sep 2026

Dataset Cleaner & Exporter missed one check 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.

Three servers free · no card

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.

run in your terminal
claude mcp add dataset-cleaner-exporter --transport http https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp
Settings → Connectors → Add custom connector, then paste this address
https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp
~/.codex/config.toml
[mcp_servers.dataset-cleaner-exporter]
url = "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "dataset-cleaner-exporter": {
      "url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "dataset-cleaner-exporter": {
      "type": "http",
      "url": "https://dataset-cleaner-exporter.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 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 will be treated. Free, processes no data.
clean
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, the final column list, per-column fill rates and warnings. Steps, in order: optionally explode one array field into one row per entry; flatten nested objects into columns (address.city becomes address_city); trim text; lowercase valid emails; reduce phone numbers to digits with any leading +; lowercase URL hosts and drop the trailing slash; optionally strip HTML and turn numeric or true/false text into numbers and booleans; blank text becomes null; keep, remove or rename columns; then remove duplicates (normalized by default, comparing the whole row unless dedupKeys is set) keeping the most complete row. Deterministic, no AI, nothing guessed. Use it on scraped leads, CRM exports or API results before loading them anywhere. There is a row limit per call (see list_capabilities); split bigger lists across several calls.

Endpoints

URLTransportStateLatencyChecked
https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp streamable-http answering 73 ms 3 min ago

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Dataset Cleaner & Exporter — questions

Answers built from our own checks of this server.

What can Dataset Cleaner & Exporter do?
It exposes 2 tools, read directly from the server on our last check. Among them: clean_rows, list_capabilities. 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 Cleaner & Exporter working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 104 ms. The bar chart above shows every period we have measured.
How do I connect Dataset Cleaner & Exporter?
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 Cleaner & Exporter need an API key?
No. Dataset Cleaner & Exporter 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 Cleaner & Exporter?
It answers our handshake in 104 ms on average, which is faster than 91% 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 Cleaner & Exporter open source?
We cannot say either way: 1 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.