A
licenseB
qualityD
maintenanceA Model Context Protocol server that allows LLMs to retrieve and convert web content to markdown without robots.txt restrictions.
1
2
MIT
Better Fetch
Related Servers
Alternatives to Better Fetch
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceA Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.56-
- AlicenseAqualityDmaintenanceA Model Context Protocol server that provides web content fetching capabilities with robots.txt checking removed, allowing LLMs to retrieve and convert web content to markdown.21MIT
- -licenseNot gradedqualityNot gradedmaintenanceA Model Context Protocol server that provides AI coding agents with access to up-to-date Inngest documentation by fetching and converting web content to Markdown format.3-
- AlicenseNot gradedqualityFmaintenanceA Model Context Protocol server that converts documents (PDF, DOCX, HTML, etc.) to Markdown, enabling AI agents to ingest and understand document content.MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol server that converts diverse file types, including PDFs, images, audio, and Office documents, into Markdown format. It also transforms web content like YouTube transcripts and Bing search results into readable text for model consumption.13231 npmMIT
TDQS
B3.2/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: one handles single-page fetching while the other includes nested URL crawling. The descriptions explicitly differentiate between these scopes, leaving no room for confusion or misselection.
Naming Consistency5/5
Both tools follow a consistent verb_noun pattern with 'fetch_website' as the base, differentiated by descriptive suffixes ('_single' and '_nested'). This predictable naming makes it easy to understand their relationship and functionality.
Tool Count2/5
With only two tools, the server feels under-scoped for a 'Better Fetch' purpose. While the tools cover basic fetching scenarios, there are likely missing operations like handling authentication, adjusting fetch parameters, or error management that would be expected in a robust fetching toolset.
Completeness2/5
For a fetching domain, the toolset is severely incomplete. It lacks essential operations such as configuring fetch options (e.g., headers, timeouts), handling different content types, managing errors, or providing status information. This will likely cause agent failures when dealing with complex fetching tasks.
Maintenance
ActivityInactive
ResponsivenessNo issues