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qualityA server that allows fetching web page content using Playwright headless browser with AI-powered capabilities for efficient information extraction.
Last updated -
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TypeScript
MIT License
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Why this server?
This server allows fetching web page content using Playwright headless browser with AI-powered capabilities for efficient information extraction, aligning with the need to extract data from PDFs via OCR.
Why this server?
This server extracts and transforms webpage content into clean, LLM-optimized Markdown, which is helpful for cleaning and preparing the compiled PDF content.
Why this server?
Provides screenshot and OCR capabilities for macOS, essential for OCRing PDF pages.
Why this server?
A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease, which is helpful for processing and structuring PDF data.
Why this server?
A Model Context Protocol server that enables semantic search and retrieval of documentation using a vector database, which aligns with searching for specific information based on a template.
Why this server?
An MCP server that provides access to Jina AI's powerful web services (page reading, web search, fact checking) through Claude. This server can extract webpage content, which can be useful for the PDFs compiled.
Why this server?
A Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks.
Why this server?
Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment, helpful for handling potential web-based PDF functionalities.
Why this server?
A Model Context Protocol server that provides file deletion capabilities. This server allows AI assistants to safely delete files when needed, with support for both relative and absolute paths.
Why this server?
Enables interaction with Azure Table Storage directly through Cline. This tool allows you to query and manage data in Azure Storage Tables, which may be useful if the PDFs being processed are stored in Azure.