What are the required dependencies?
Python 3.11+ and the packages mcp>=1.2.0, pypdf2>=3.0.1, pytesseract>=0.3.10, Pillow>=10.0.0, pydantic>=2.10.1,<3.0.0, and pymupdf>=1.24.0.
@xraywu
基本信息
MCP server to extract contents from a PDF file
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-pdf-extraction-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Extract contents from a local PDF file
The PDF Extraction MCP Server (Claude Code Fork) is an MCP server that extracts text content from PDF files. It is a fork of the original server with critical fixes for installing and running with Claude Code CLI.
Clone the repository, install in development mode with pip install -e ., then find the installed command path and add it to Claude Code using claude mcp add pdf-extraction /full/path/to/pdf-extraction. Once added, start a new Claude session and use /mcp to confirm connection; then ask Claude to extract content from a local PDF by specifying the file path and optionally a comma-separated list of pages (e.g., "1-3,-1").
python -m pdf_extractionPython 3.11+ and the packages mcp>=1.2.0, pypdf2>=3.0.1, pytesseract>=0.3.10, Pillow>=10.0.0, pydantic>=2.10.1,<3.0.0, and pymupdf>=1.24.0.
After installing, run `which pdf-extraction` to get the full path, then execute `claude mcp add pdf-extraction /full/path/to/pdf-extraction`.
No, this fork is specifically for Claude Code CLI. For Claude Desktop, refer to the original repository.
It requires a `pdf_path` string (local file path
A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsheets.
Go server implementing Model Context Protocol (MCP) for filesystem operations.

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