Dataset Cleaner & Exporter

io.github.Nero-Engine/dataset-cleaner-exporterVersion 0.1.0

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

Status

Responds136 msNov 14, 2026, 14:40 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:40 UTC
Latency: 136 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://dataset-cleaner-exporter.nerolabs.workers.dev/mcpResponds136 msNov 14, 2026, 14:40 UTC

No sign-in

Claude Code

claude mcp add --transport http dataset-cleaner-exporter https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: dataset-cleaner-exporter
Remote MCP server URL: https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp

Cursor

{
  "mcpServers": {
    "dataset-cleaner-exporter": {
      "url": "https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"dataset-cleaner-exporter","type":"http","url":"https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp"}'

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Tools

2 tools

Tools of Dataset Cleaner & Exporter
	Description		Read-only	Idempotent	Open world
`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.	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.	Not declared	Not declared	Not declared	Not declared
`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.	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.	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Sep 13, 2026
Updated: Sep 13, 2026
Website: https://github.com/Nero-Engine/dataset-cleaner-exporter-mcp⁠ (opens in a new tab)
Repository: https://github.com/Nero-Engine/dataset-cleaner-exporter-mcp⁠ (opens in a new tab)
Categories (suggested): Data and analytics CommunicationSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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