A
licenseA
qualityD
maintenanceConverts URLs and raw HTML to clean Markdown, enabling AI assistants to read web pages for summarization, analysis, or ingestion.
2
15 npm
1
MIT
Website to Markdown MCP Server
by SunZhi-Will
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TDQS
B3/5.0
Scored across 4 tools
Disambiguation2/5
There is significant overlap and ambiguity among the fetch tools. fetch_example_site and fetch_test_site are essentially special cases of fetch_website, making it unclear when to use which. An agent might struggle to choose between them, as the descriptions don't clarify distinct use cases beyond different hardcoded URLs.
Naming Consistency5/5
Tool names follow a consistent verb_noun pattern throughout (fetch_example_site, fetch_test_site, fetch_website, list_configured_websites). All use snake_case and start with descriptive verbs, making the naming predictable and easy to understand.
Tool Count3/5
With 4 tools, the count is borderline for the server's purpose of converting websites to markdown. It feels slightly thin, as there could be more operations like updating configurations or handling errors, but it covers basic fetching and listing. It's not extreme, but could be more robust.
Completeness2/5
There are significant gaps in the tool surface. The server lacks tools for configuring or managing websites beyond listing them (e.g., add_website, remove_website, update_configuration). This incompleteness will likely cause agent failures when trying to perform full lifecycle operations, as the current set is limited to fetching and listing only.
Maintenance
ActivityInactive
ResponsivenessNo issues