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HumanMirror Oracle

Structured analysis API and remote MCP tool for text, JSON records and numeric series.

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
93%
命名品質
80%
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

~328Token（工具定義）
~2.9 KB典型回應大小
極小的注意力影響（128k 上下文的 0.26%）

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": {
    "oracle": {
      "url": "https://humanmirror.fr/api/oracle/mcp/"
    }
  }
}

遠端端點

https://humanmirror.fr/api/oracle/mcp/streamable-http

它能做什麼

工具清單

工具（1）

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪humanmirror_oracle(input, objective, context)

Use HumanMirror Oracle when an application or AI agent needs structured analysis of text, JSON objects, record arrays, or numeric series: data-quality checks, trends, anomalies, summaries, and recommendations. Do not use it as a substitute for professional advice in high-impact decisions. One successful call consumes 1 Oracle credit.

輸入結構描述

{
  "type": "object",
  "properties": {
    "input": {
      "description": "Text, JSON object, array of records, or numeric series to analyze."
    },
    "objective": {
      "type": "string",
      "description": "Optional analysis objective, for example: detect anomalies, check data quality, identify trends, or summarize structure."
    },
    "context": {
      "type": "string",
      "description": "Optional context that helps interpret the input."
    }
  },
  "required": [
    "input"
  ],
  "additionalProperties": false
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "ok": {
      "type": "boolean"
    },
    "version": {
      "type": "string"
    },
    "request_id": {
      "type": [
        "string",
        "null"
      ]
    },
    "result": {
      "type": "object",
      "properties": {
        "summary": {
          "type": "string"
        },
        "objective": {
          "type": [
            "string",
            "null"
          ]
        },
        "context_used": {
          "type": "boolean"
        },
        "profile": {
          "type": "object"
        },
        "signals": {
          "type": "array"
        },
        "recommendations": {
          "type": "array"
        },
        "limitations": {
          "type": "array"
        }
      }
    },
    "usage": {
      "type": "object",
      "properties": {
        "credits_used": {
          "type": "integer"
        },
        "credits_remaining": {
          "type": "integer"
        }
      }
    },
    "error": {
      "type": "object"
    }
  },
  "required": [
    "ok",
    "version",
    "request_id"
  ]
}

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