terminal

Mongolia's signed macro data terminal: 2,500+ series, Ed25519 passports, curve/FX/CPI/MSE.

我該用這個嗎

品質與安全性

A
說明品質
96%
結構描述完整度
66%
命名品質
96%
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

~378Token(工具定義)
~312 B典型回應大小
極小的注意力影響(128k 上下文的 0.30%)

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": {
    "terminal": {
      "url": "https://dta.mn/mcp"
    }
  }
}

遠端端點

https://dta.mn/mcpstreamable-http

它能做什麼

工具清單

工具(5)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪about

What DTA (dta.mn) is: Mongolia's signed, source-bound macro/market data archive — coverage, corpus size, how to verify.

輸入結構描述

{
  "type": "object",
  "properties": {}
}
🟢search_series(q)

Search the series catalog by code or name (English or Mongolian). Returns up to 15 series with codes to use in get_panel.

輸入結構描述

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "description": "substring, min 2 chars — e.g. 'cpi', 'lending', 'wavg_yield', 'инфляц'"
    }
  },
  "required": [
    "q"
  ]
}
🟢get_panel(codes, limit)

Time series (latest vintage per date) for up to 8 series codes. Each point is [date, value, shortid]; the shortid is the signed-passport handle for get_datum.

輸入結構描述

{
  "type": "object",
  "properties": {
    "codes": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 8
    },
    "limit": {
      "type": "integer",
      "description": "most recent N points per series, default 24, max 120"
    }
  },
  "required": [
    "codes"
  ]
}
🟢get_datum(shortid)

One signed observation's passport by shortid: value, vintage, source URL, schema, Ed25519 signature + the canonical payload recipe to verify it.

輸入結構描述

{
  "type": "object",
  "properties": {
    "shortid": {
      "type": "string"
    }
  },
  "required": [
    "shortid"
  ]
}
🟢get_movers

Today's biggest movers across the archive — the signed movers:v0 snapshot (ranked by delta z-score).

輸入結構描述

{
  "type": "object",
  "properties": {}
}

社群

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證據

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