A
licenseNot graded
qualityA
maintenanceEnables AI agents and LLM pipelines to fetch and crawl webpages, strip extraneous content, and convert them into clean, link-preserving Markdown for fast, token-efficient scraping.
MIT
Web2MD
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TDQS
A3.9/5.0
Scored across 4 tools
Disambiguation4/5
read_url, chunk_url, page_metadata, and convert_html have clear distinct outputs: full Markdown, RAG chunks, metadata only, and conversion of raw HTML. However, read_url and chunk_url both fetch the page's main content, which could cause minor confusion if the agent does not attend to the output format.
Naming Consistency4/5
Three tools follow a verb_noun pattern (read_url, chunk_url, convert_html), while page_metadata is a noun phrase, breaking the convention. The deviation is minor and still readable, but a name like get_page_metadata would have been more consistent.
Tool Count5/5
Four tools is well-scoped for a web-to-Markdown server, covering the core actions of reading, chunking, inspecting metadata, and converting raw HTML. Each tool earns its place without redundancy or excess.
Completeness4/5
The surface covers fetching content, chunking for RAG, extracting metadata, and converting provided HTML. A minor gap is the absence of a way to fetch raw HTML from a URL for use with convert_html, but the core read/convert workflows are well supported.
Maintenance
ActivityMaintained
ResponsivenessNo issues