Dataset Filter & Transform

Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
65%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~645Tokens (Tool-Definitionen)
~3.0 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.50% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "dataset-filter-transform": {
      "url": "https://dataset-filter-transform.nerolabs.workers.dev/mcp"
    }
  }
}

Remote-Endpunkte

https://dataset-filter-transform.nerolabs.workers.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (2)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢list_capabilities

Returns every filter operator and transform operation this server supports, the order the pipeline runs in, and the maximum rows per call. Call this first if you are unsure what is available. Free, processes no data.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🔴process_rows(rows, transforms, filters, filterCombineMode, caseSensitiveFilters, ...)

Cleans a list of JSON rows in one call: transforms each row, filters out the rows you do not want, then optionally sorts, de-duplicates and limits them. Returns the kept rows plus a summary of exactly what was removed and why. Use it to reshape scraped or API data before passing it on: rename and drop fields, cast strings to numbers, compute new fields with arithmetic, extract with regex, then keep only the rows that match your rules. Transforms run before filters, so you can filter on a field you just created.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "rows": {
      "type": "array",
      "description": "The rows to process. Each row is a JSON object. Keys may differ between rows.",
      "items": {
        "type": "object"
      }
    },
    "transforms": {
      "type": "array",
      "description": "Transform steps applied to every row, in order. Each step is an object with an \"op\" key, for example {\"op\":\"cast\",\"field\":\"price\",\"to\":\"number\"} or {\"op\":\"compute\",\"field\":\"total\",\"expression\":\"price * qty\"} or {\"op\":\"rename\",\"from\":\"e_mail\",\"to\":\"email\"}. Call list_capabilities for all 26 operations.",
      "items": {
        "type": "object"
      }
    },
    "filters": {
      "type": "array",
      "description": "Conditions a row must satisfy to be kept, for example {\"field\":\"country\",\"operator\":\"equals\",\"value\":\"UK\"} or {\"field\":\"price\",\"operator\":\"greaterThan\",\"value\":100}. Dot paths like \"address.city\" work. Call list_capabilities for all 25 operators.",
      "items": {
        "type": "object"
      }
    },
    "filterCombineMode": {
      "type": "string",
      "enum": [
        "AND",
        "OR"
      ],
      "description": "Whether a row must match every filter (AND, the default) or any one of them (OR)."
    },
    "caseSensitiveFilters": {
      "type": "boolean",
      "description": "Text comparisons are case-insensitive by default. Set true to make them exact."
    },
    "lenientNumbers": {
      "type": "boolean",
      "description": "On by default: values like \"$1,234.50\", \"49 USD\" and \"12%\" are read as numbers. Set false to require real numeric values."
    },
    "sortBy": {
      "type": "array",
      "description": "Sort the kept rows, for example [{\"field\":\"price\",\"direction\":\"desc\"}].",
      "items": {
        "type": "object"
      }
    },
    "distinctBy": {
      "type": "array",
      "description": "Keep only the first row for each combination of these fields. Applied after sorting, so sorting first lets you keep the newest row per key.",
      "items": {
        "type": "string"
      }
    },
    "offset": {
      "type": "integer",
      "description": "Skip this many rows after filtering and sorting."
    },
    "limit": {
      "type": "integer",
      "description": "Return at most this many rows."
    }
  },
  "required": [
    "rows"
  ],
  "additionalProperties": false
}

Community

Diesen Server bewerten

Nachweis

Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet2 Tools
verifiziertVersion nicht aufgezeichnet2 Tools