What are the runtime requirements?
Node.js >= 18.18 is required. For best OCR on PDFs, Poppler and Tesseract CLI are recommended.
@sunderbharath85
基本信息
An MCP server that can extract text from PDFs and images. It supports:
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pdf-reader-mcp": {
"command": "node",
"args": [
"dist/index.js"
],
"env": {}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
Pdf Reader is an MCP server that extracts text from PDFs and images. It supports native text extraction from PDFs with embedded text and OCR for scanned PDFs and images using Tesseract.
—
tesseract.js if Tesseract CLI is absentNode.js >= 18.18 is required. For best OCR on PDFs, Poppler and Tesseract CLI are recommended.
Instructions differ by OS: use Homebrew on macOS, Chocolatey or manual install on Windows, and `apt-get` on Ubuntu/Debian.
The server falls back to slower whole‑file OCR instead of using `pdftoppm`.
The server falls back to `tesseract.js`, which downloads language data on first use.
macOS, Windows, and Linux (Ubuntu/Debian instructions provided).
A Model Context Protocol (MCP) server for platform-agnostic file capabilities, including advanced search/replace and directory tree traversal
A lightweight MCP server for processing, editing, and interacting with PDF, Word, Excel, and CSV documents.
MCP server to integrate AWS S3 and LLM
A MCP server providing realistic browser-like HTTP request capabilities with accurate TLS/JA3/JA4 fingerprints for bypassing anti-bot measures. It also supports converting PDF and HTML documents to Markdown for easier processing by LLMs.
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.
评论