StackData

Official statistics, China censuses & yearbooks, and as-of customs tariffs with legal citations.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
96%
命名品質
90%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~516Token(工具定義)
~699 B典型回應大小
極小的注意力影響(128k 上下文的 0.40%)

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": {
    "stackdata": {
      "url": "https://api.stackdata.io/mcp"
    }
  }
}

遠端端點

https://api.stackdata.io/mcpstreamable-http

它能做什麼

工具清單

工具(4)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢search_datasets(q, limit)

Search StackData's catalog of 50k+ official statistical datasets (SDMX/World Bank dataflows, China censuses and yearbooks, tariff schedules). Multilingual: an English query finds Chinese-titled tables. Returns dataset ids usable with the other tools.

輸入結構描述

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "search query"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 10
    }
  },
  "required": [
    "q"
  ]
}
🟢get_table(dataset_id)

Fetch a STORED table whole, by dataset id (families cn-nbs-census and cn-nbs-yearbook): labelled rows × columns with original-language labels, English overlay, units, and provenance down to the source file. Ids look like 'cn-nbs-census:2010_a0101a'.

輸入結構描述

{
  "type": "object",
  "properties": {
    "dataset_id": {
      "type": "string",
      "description": "catalog dataset id"
    }
  },
  "required": [
    "dataset_id"
  ]
}
🟢tariff_lookup(code, jurisdiction, origin, date, direction)

As-of customs-tariff lookup: which measures/duty rates apply to a goods code in a jurisdiction (eu, us, uk, jp), optionally from an origin, on a date. Duty expressions are verbatim; every measure carries its legal citation. Not legal advice.

輸入結構描述

{
  "type": "object",
  "properties": {
    "code": {
      "type": "string",
      "description": "goods code, 2-10 digits (HS/TARIC/HTS)"
    },
    "jurisdiction": {
      "type": "string",
      "enum": [
        "eu",
        "us",
        "uk",
        "jp"
      ],
      "default": "eu"
    },
    "origin": {
      "type": "string",
      "description": "ISO2 origin country (eu/uk only)"
    },
    "date": {
      "type": "string",
      "description": "as-of date YYYY-MM-DD, default today"
    },
    "direction": {
      "type": "string",
      "enum": [
        "import",
        "export"
      ],
      "default": "import"
    }
  },
  "required": [
    "code"
  ]
}
⚪resolve_data(q, start, end)

Ask a data question in English ('unemployment rate in Japan', 'compare GDP in Japan and Germany') — resolves to the best covering dataset and returns the observations, with coverage honesty (missing countries are reported, never papered over).

輸入結構描述

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "the question"
    },
    "start": {
      "type": "integer",
      "description": "start year"
    },
    "end": {
      "type": "integer",
      "description": "end year"
    }
  },
  "required": [
    "q"
  ]
}

建議的提示詞

search_research
Search for information about [topic] using StackData
預期的工具: search_datasets
find_specific
Find [specific item] using StackData
預期的工具: search_datasets
retrieve_data
Get details about [item] from StackData
預期的工具: get_table
fetch_info
Fetch [information type] using StackData
預期的工具: get_table
search_then_create
Search for [item] and create a new [related item] using StackData
預期的工具: search_datasetssearch_datasets

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證據

近期觀測

已驗證未記錄版本4 個工具
已驗證未記錄版本4 個工具