基于智谱 GLM-4V 的 PDF 视觉分析 MCP 工具
Project description
📄 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"
}
}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mcp_pdf_pro-0.1.0.tar.gz
(4.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mcp_pdf_pro-0.1.0.tar.gz.
File metadata
- Download URL: mcp_pdf_pro-0.1.0.tar.gz
- Upload date:
- Size: 4.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Hatch/1.16.2 cpython/3.12.0 HTTPX/0.28.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
57a8bd75b43bd5a34948ad269100e62c63cc0b775f0345a07dd3fd7ea953d0e6
|
|
| MD5 |
059dd4517f390a21be24fb61d6bcefa8
|
|
| BLAKE2b-256 |
45cd3e4528d75c21490eac2cc6fcf8bcb961a0f7ebfad5c94eebbab726a3853c
|
File details
Details for the file mcp_pdf_pro-0.1.0-py3-none-any.whl.
File metadata
- Download URL: mcp_pdf_pro-0.1.0-py3-none-any.whl
- Upload date:
- Size: 4.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: Hatch/1.16.2 cpython/3.12.0 HTTPX/0.28.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
067792b22be58ae2c4f3656c1f9cd5471f2bcd7a5294ecd289c72e87d68b9791
|
|
| MD5 |
3c4d81dfc131202711e9129ebc0dd533
|
|
| BLAKE2b-256 |
a71af3e05b2bfe3ddcd3816260e6b09572d2146b7603b3be84240f5ce3624035
|