Dataset Filter & Transform
Clean, filter and reshape JSON rows in one call: 26 transforms, 25 filters, sort, dedupe, limit.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"dataset-filter-transform": {
"url": "https://dataset-filter-transform.nerolabs.workers.dev/mcp"
}
}
}遠端端點
https://dataset-filter-transform.nerolabs.workers.dev/mcpstreamable-http它能做什麼
工具清單
工具（2）
🟢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.
輸入結構描述
{
"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.
輸入結構描述
{
"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
}社群
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