Dataset Diff & Change Detector

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

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

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

    How to connect

    How to connect Dataset Diff & Change Detector to Claude

    The server address to paste into Claude settings:

    https://dataset-diff-detector.nerolabs.workers.dev/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Dataset Diff & Change Detector to ChatGPT

    The server address to paste into ChatGPT settings:

    https://dataset-diff-detector.nerolabs.workers.dev/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Dataset Diff & Change Detector to Cursor

    The server address to paste into Cursor settings:

    https://dataset-diff-detector.nerolabs.workers.dev/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (2)

    Raw names from tools/list. Only developers need these.

    list_capabilitiesReturns 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.
    diff_rowsCompares 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.