saury1120/pdf-mcp

中文 | English
## 📄 PDF-MCP 服务
高性能 PDF 文档处理服务，支持文本、图片、表格提取及高级分析。
## ✨ 主要特性
📜 文本提取：多语言支持，保留格式。
🖼️ 图片处理：提取与优化。
📊 表格识别：结构化数据输出。
🧠 智能分类：基于深度学习。
🔍 相似度分析：跨语言比较。
🌐 多语言支持：100+ 种语言。
## 💻 系统要求
🖥️ 硬件：2 核 CPU，4GB 内存。
⚙️ 软件：Python 3.10+，可选 CUDA 支持。
## 🚀 快速开始
1. 🗂️ 克隆仓库并进入目录：
bash
git clone https://github.com/saury1120/pdf-mcp.git
cd pdf-mcp
2. 🛠️ 创建虚拟环境并安装依赖：
bash
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
3. ▶️ 启动服务：
bash
uv run pdf_reader
### Claude Desktop 配置
1. 找到配置文件：
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %AppData%/Claude/claude_desktop_config.json
2. 添加以下配置：
json
"mcpServers": {
"pdf_reader": {
"command": "uv",
"args": [
"--directory",
"/path/to/pdf-mcp", # 替换为实际路径
"run",
"pdf_reader"
# PDF-MCP Service
A high-performance PDF document processing service supporting text, image, table extraction, and advanced analysis.
## ✨ Key Features
📜 Text Extraction: Multilingual support, retains formatting.
🖼️ Image Processing: Extraction and optimization.
📊 Table Recognition: Structured data output.
🧠 Intelligent Classification: Based on deep learning.
🔍 Similarity Analysis: Cross-language comparison.
🌐 Multilingual Support: 100+ languages.
## 💻 System Requirements
🖥️ Hardware: 2-core CPU, 4GB RAM.
⚙️ Software: Python 3.10+, optional CUDA support.
## 🚀 Quick Start
1. 🗂️ Clone the repository and enter the directory:
bash
git clone https://github.com/saury1120/pdf-mcp.git
cd pdf-mcp
2. 🛠️ Create a virtual environment and install dependencies:
bash
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
3. ▶️ Start the service:
bash
uv run pdf_reader
## Claude Desktop
json
"mcpServers": {
"pdf_reader": {
"command": "uv",
"args": [
"--directory",
"/path/to/pdf-mcp", # 替换为实际路径
"run",
"pdf_reader"