Dataset Cleaner & Exporter
https://dataset-cleaner-exporter.nerolabs.workers.dev/mcp ↗
Description
Dedupe, flatten and clean messy JSON rows (emails, phones, URLs, HTML) in one call, as JSON or CSV.
What our measurements say
Dataset Cleaner & Exporter is a remote MCP server published at dataset-cleaner-exporter.nerolabs.workers.dev. It has been probed 6 times since 9/13/2026. It answered in 6 of them (100.0%), a near-uninterrupted record. Median response time is 333 ms, placing it among the faster endpoints. It offers a narrow, focused set of 2 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Agent readability score
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
Agent readability score
Agent readability score
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| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 14:49:35 | Legacy | 200 | 391 | 200 | 378 | 2025-06-18 |
| 2026-09-13 12:47:19 | Legacy | 200 | 243 | 200 | 243 | 2025-06-18 |
| 2026-09-13 10:45:14 | Legacy | 200 | 358 | 200 | 360 | 2025-06-18 |
| 2026-09-13 08:43:04 | Legacy | 200 | 308 | 200 | 315 | 2025-06-18 |
| 2026-09-13 06:40:42 | Legacy | 200 | 333 | 200 | 335 | 2025-06-18 |
| 2026-09-13 04:35:29 | Legacy | 200 | 213 | 200 | 209 | 2025-06-18 |
Schema compliance
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
- tools/list schema valid
- inputSchema is valid JSON Schema
- Smoke test passed · last run:
- Cold-start: cold 45ms → warm 44ms (penalty 1ms)
Tools
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
list_capabilitiesReturns 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_rowsDeduplicates, 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 unles
rowsarrayrequireddedupModestringdedupKeysarraykeepStrategystringsimilarityThresholdnumberflattenbooleanflattenSeparatorstringexpandArrayFieldstringcleanFieldsbooleanstripHtmlbooleancoerceTypesbooleanemptyToNullbooleandropEmptyFieldsbooleancolumnsToKeeparraycolumnsToRemovearraycolumnRenameMapmaxItemsintegeroutputFormatstring
Availability history
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Era history
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
Response time history
The two probe legs separately: modern server/discover and legacy initialize.
Event log
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
- Added to watch — era: Legacy
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[](https://mcpmetrics.io/servers/io-github-nero-engine-dataset-cleaner-exporter)<a href="https://mcpmetrics.io/servers/io-github-nero-engine-dataset-cleaner-exporter"><img src="https://mcpmetrics.io/badge/io.github.Nero-Engine/dataset-cleaner-exporter/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
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