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qualityA server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
Last updated -
1
154
66
JavaScript
MIT License
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Why this server?
This server enables AI agents to get structured data from unstructured web sources, which is essential for gathering information like annual reports and rating reports.
Why this server?
Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown). Useful for fetching the annual reports and other online information.
Why this server?
PDF to Markdown conversion tool, which is useful to convert PDF reports to markdown format for further processing.
Why this server?
An MCP server that enables searching various content types (news, blogs, shopping, images, etc.) through Naver's search API. Useful if the reports are available on Korean websites.
Why this server?
A redesigned Model Context Protocol server that enables AI models to access filesystems through privacy-preserving path aliases with an optimized 6-function API interface, which could be used to access local files downloaded from the internet.
Why this server?
Extracts and transforms webpage content into clean, LLM-optimized Markdown, helpful for processing online articles and reports.