Dataset Diff & Change Detector

io.github.Nero-Engine/dataset-diff-detectorVersion 0.1.0

Compare two versions of a JSON row list: what was added, removed or changed, field by field.

Status

Responds258 msNov 14, 2026, 14:40 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:40 UTC
Latency: 258 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

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Connect

Streamable HTTP

https://dataset-diff-detector.nerolabs.workers.dev/mcpResponds258 msNov 14, 2026, 14:40 UTC

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Claude Code

claude mcp add --transport http dataset-diff-detector https://dataset-diff-detector.nerolabs.workers.dev/mcp

Claude Desktop and claude.ai

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

Cursor

{
  "mcpServers": {
    "dataset-diff-detector": {
      "url": "https://dataset-diff-detector.nerolabs.workers.dev/mcp"
    }
  }
}

VS Code

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

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Tools

2 tools

Tools of Dataset Diff & Change Detector
	Description		Read-only	Idempotent	Open world
`diff_rows`Compares two versions of the same list of JSON rows (a before and an after snapshot, such as yesterday's and today's price list, product feed or CRM export) and returns one row per difference: status added, removed or changed, the key, the old and new values, and changedFields naming exactly which fields moved. Set keyFields to the field(s) that identify a row (sku, id, email); without it rows match on full content and an edited row shows as removed plus added. Comparison is exact: "19.99" (text) and 19.99 (a number) differ, as do "Blue" and "blue " and null and a missing field; nested objects compare by value. Put always-changing fields such as timestamps in ignoreFields. The summary counts added, removed, changed and unchanged rows and warns about duplicate keys, rows missing a key, and field names found in no row. oldRows and newRows together are limited per call (list_capabilities gives the number); larger calls are refused with a message saying how to split them.	Compares two versions of the same list of JSON rows (a before and an after snapshot, such as yesterday's and today's price list, product feed or CRM export) and returns one row per difference: status added, removed or changed, the key, the old and new values, and changedFields naming exactly which fields moved. Set keyFields to the field(s) that identify a row (sku, id, email); without it rows match on full content and an edited row shows as removed plus added. Comparison is exact: "19.99" (text) and 19.99 (a number) differ, as do "Blue" and "blue " and null and a missing field; nested objects compare by value. Put always-changing fields such as timestamps in ignoreFields. The summary counts added, removed, changed and unchanged rows and warns about duplicate keys, rows missing a key, and field names found in no row. oldRows and newRows together are limited per call (list_capabilities gives the number); larger calls are refused with a message saying how to split them.	Not declared	Not declared	Not declared	Not declared
`list_capabilities`Returns the exact matching and comparison rules diff_rows uses, the shape and order of its output rows, and the maximum rows per call. Call this first if you are unsure how values are compared. Free, processes no data.	Returns the exact matching and comparison rules diff_rows uses, the shape and order of its output rows, and the maximum rows per call. Call this first if you are unsure how values are compared. 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-diff-detector-mcp⁠ (opens in a new tab)
Repository: https://github.com/Nero-Engine/dataset-diff-detector-mcp⁠ (opens in a new tab)
Categories (suggested): Data and analyticsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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