PageProof

PDF text by page with hashes. 0.005 USDC/Base via x402. No OCR. Check /health for readiness.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
100%
命名质量
80%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~371token 数(工具定义)
~3.2 KB典型响应大小
对注意力的影响极小(占 128k 上下文窗口的 0.29%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "pdf-extract": {
      "url": "https://pageproof.alert-crab-1890.chatgpt.site/api/mcp"
    }
  }
}

远程端点

https://pageproof.alert-crab-1890.chatgpt.site/api/mcpstreamable-http

它能做什么

工具清单

工具(1)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢pdf_extract(pdf_base64)

Extract text from a digital PDF into page-numbered JSON with SHA-256 hashes. No account or API key. 0.005 USDC on Base per successful document via x402. Maximum 2 MiB and 25 pages. No OCR, summaries, URL fetching, or verification of document claims.

输入模式

{
  "type": "object",
  "properties": {
    "pdf_base64": {
      "type": "string",
      "contentEncoding": "base64",
      "contentMediaType": "application/pdf",
      "maxLength": 2796204,
      "description": "Standard padded base64 of PDF bytes, maximum 2097152 bytes. No URL or data-URI prefix."
    }
  },
  "required": [
    "pdf_base64"
  ],
  "additionalProperties": false
}

输出模式

{
  "type": "object",
  "properties": {
    "schema_version": {
      "type": "string"
    },
    "document_sha256": {
      "type": "string",
      "pattern": "^[a-f0-9]{64}$"
    },
    "page_count": {
      "type": "integer",
      "minimum": 1,
      "maximum": 25
    },
    "character_count": {
      "type": "integer"
    },
    "pages": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "page",
          "text",
          "text_sha256"
        ],
        "properties": {
          "page": {
            "type": "integer",
            "minimum": 1
          },
          "text": {
            "type": "string"
          },
          "text_sha256": {
            "type": "string",
            "pattern": "^[a-f0-9]{64}$"
          }
        }
      }
    },
    "warnings": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "provenance": {
      "type": "object",
      "properties": {
        "parser": {
          "type": "string"
        },
        "method": {
          "type": "string"
        },
        "content_verified": {
          "const": false
        },
        "ocr": {
          "const": false
        }
      }
    }
  },
  "required": [
    "schema_version",
    "document_sha256",
    "page_count",
    "character_count",
    "pages",
    "warnings",
    "provenance"
  ]
}

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