About Pdf MCP
Pdf MCP is an MCP server published by saury1120 in the Content category: 一个强大的 PDF 处理 MCP（Model Context Protocol）服务，提供全面的 PDF 文档分析功能.
The repository has 51 stars and 6 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/saury1120/pdf-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Pdf MCP
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 2 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
1 check has not been run yet.
README
PDF-MCP 
📄 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
- 🗂️ 克隆仓库并进入目录：
git clone https://github.com/saury1120/pdf-mcp.git cd pdf-mcp - 🛠️ 创建虚拟环境并安装依赖：
uv venv source .venv/bin/activate uv pip install -r requirements.txt - ▶️ 启动服务：
uv run pdf_reader
Claude Desktop 配置
- 找到配置文件：
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%AppData%/Claude/claude_desktop_config.json
- macOS:
- 添加以下配置：
{
"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
- 🗂️ Clone the repository and enter the directory:
git clone https://github.com/saury1120/pdf-mcp.git cd pdf-mcp - 🛠️ Create a virtual environment and install dependencies:
uv venv source .venv/bin/activate uv pip install -r requirements.txt - ▶️ Start the service:
uv run pdf_reader
Claude Desktop
{
"mcpServers": {
"pdf_reader": {
"command": "uv",
"args": [
"--directory",
"/path/to/pdf-mcp", # 替换为实际路径
"run",
"pdf_reader"
]
}
}
}
README fetched from the repository 2 days ago. The original is authoritative.