📄 MCP PDF Pro - 智能视觉分析工具

这是一个基于 Model Context Protocol (MCP) 的 PDF 分析工具。它能通过 AI 视觉模型（如智谱 GLM-4V、GPT-4o）“看懂” PDF 中的流程图、表格和图片。

🚀 安装与使用

本工具支持 代码与配置分离。作为使用者，你无需修改代码，只需在 Cursor/Claude 中配置自己的 API Key 即可。

1. 配置 Cursor (推荐)

请将以下内容添加到你的 Cursor settings.json 的 mcpServers 字段中：

{
  "mcpServers": {
    "PDFPro": {
      "command": "uvx",
      "args": [
        "--from",
        "/这里填你whl文件的绝对路径/mcp_pdf_pro-0.1.0-py3-none-any.whl",
        "mcp-pdf-pro"
      ],
      "env": {
        "PYTHONUTF8": "1",
        
        // 🔥 【必填】请填入你的 API Key (智谱/OpenAI/DeepSeek 等)
        "MCP_API_KEY": "sk-xxxxxxxxxxxxxxxxxxxxxxxx",

        // 🌍 【选填】API 地址 (默认为智谱 GLM-4V，如需改用其他模型请修改)
        "MCP_BASE_URL": "[https://open.bigmodel.cn/api/paas/v4/](https://open.bigmodel.cn/api/paas/v4/)",
        "MCP_MODEL_NAME": "glm-4v"
      },
      "type": "stdio"
    }
  }
}

Metadata

Release files for mcp-pdf-pro 0.1.0

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Source distribution (sdist)

Source distribution for mcp-pdf-pro 0.1.0
File	Size	Uploaded	Provenance
mcp_pdf_pro-0.1.0.tar.gz	4.8 kB	Jan 9, 2026	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for mcp-pdf-pro 0.1.0
File	Interpreter	ABI	Platform	Reset
mcp_pdf_pro-0.1.0-py3-none-any.whl 4.8 kB Jan 9, 2026 Without provenance	Python 3	none	any	Details

Total release size: 9.6 kB

Release files / mcp_pdf_pro-0.1.0.tar.gz

Download URL	mcp_pdf_pro-0.1.0.tar.gz
Size	4.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`57a8bd75b43bd5a34948ad269100e62c63cc0b775f0345a07dd3fd7ea953d0e6`
BLAKE2b-256 checksum How to use checksums	`45cd3e4528d75c21490eac2cc6fcf8bcb961a0f7ebfad5c94eebbab726a3853c`
Upload date	Jan 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Hatch/1.16.2 cpython/3.12.0 HTTPX/0.28.1`

Release files / mcp_pdf_pro-0.1.0-py3-none-any.whl

Download URL	mcp_pdf_pro-0.1.0-py3-none-any.whl
Size	4.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`067792b22be58ae2c4f3656c1f9cd5471f2bcd7a5294ecd289c72e87d68b9791`
BLAKE2b-256 checksum How to use checksums	`a71af3e05b2bfe3ddcd3816260e6b09572d2146b7603b3be84240f5ce3624035`
Upload date	Jan 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`Hatch/1.16.2 cpython/3.12.0 HTTPX/0.28.1`

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Jan 9, 2026 2 release files No provenance

mcp-pdf-pro 0.1.0