DocVerdict

PDF, photo, email, and file comparison evidence checks with plain-language reports.

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
100%
命名品質
95%
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

~487Token(工具定義)
~815 B典型回應大小
極小的注意力影響(128k 上下文的 0.38%)

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": {
    "docverdict": {
      "url": "https://api.docverdict.com/api/mcp"
    }
  }
}

遠端端點

https://api.docverdict.com/api/mcpstreamable-http

它能做什麼

工具清單

工具(4)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟡verify_pdf(file_base64, filename)

Check one PDF: digital signature status, whether content was added after signing, and metadata observations (creation dates, producing software, edit history). Returns findings JSON and a plain-language report. The result classifies evidence; it never determines fraud, authenticity, or legal validity.

輸入結構描述

{
  "type": "object",
  "properties": {
    "file_base64": {
      "type": "string",
      "description": "File content, base64-encoded."
    },
    "filename": {
      "type": "string",
      "description": "Original filename, for the report header."
    }
  },
  "required": [
    "file_base64"
  ]
}
🟡verify_photo(file_base64, filename)

Check one photo (JPG, PNG, or HEIC): camera metadata, capture time, edit traces, and timestamp consistency. Observations suggest, never prove, how the image was made and handled.

輸入結構描述

{
  "type": "object",
  "properties": {
    "file_base64": {
      "type": "string",
      "description": "File content, base64-encoded."
    },
    "filename": {
      "type": "string",
      "description": "Original filename, for the report header."
    }
  },
  "required": [
    "file_base64"
  ]
}
🟢verify_email(file_base64, filename)

Check one email saved as .eml: sender alignment, authentication results as recorded by the receiving server, and the delivery route. Classifications only — a mismatch is evidence to weigh, not a conclusion.

輸入結構描述

{
  "type": "object",
  "properties": {
    "file_base64": {
      "type": "string",
      "description": "File content, base64-encoded."
    },
    "filename": {
      "type": "string",
      "description": "Original filename, for the report header."
    }
  },
  "required": [
    "file_base64"
  ]
}
⚪compare_pdfs(file_a_base64, file_b_base64, filename_a, filename_b)

Compare two PDFs: byte identity, whether one file derives from the other, and what changed (pages, metadata, signature events). Reports the relationship the bytes show; it does not decide which file is the right one.

輸入結構描述

{
  "type": "object",
  "properties": {
    "file_a_base64": {
      "type": "string",
      "description": "File content, base64-encoded."
    },
    "file_b_base64": {
      "type": "string",
      "description": "File content, base64-encoded."
    },
    "filename_a": {
      "type": "string",
      "description": "Original filename, for the report header."
    },
    "filename_b": {
      "type": "string",
      "description": "Original filename, for the report header."
    }
  },
  "required": [
    "file_a_base64",
    "file_b_base64"
  ]
}

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