A
licenseNot graded
qualityD
maintenanceA Model Context Protocol server that allows LLMs to interact with web content through standardized tools, currently supporting web scraping functionality.
1
MIT
MCP URL Fetcher
by nathanonn
Related Servers
Alternatives to MCP URL Fetcher
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceA Model Context Protocol server that allows LLMs to retrieve and convert web content to markdown without robots.txt restrictions.12MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.210 npm9MIT
- AlicenseAqualityBmaintenanceA production-ready Model Context Protocol server that enables language models to leverage AI-powered web scraping capabilities, offering tools for transforming webpages to markdown, extracting structured data, and executing AI-powered web searches.881 PyPI106MIT
- AlicenseBqualityDmaintenanceA Model Context Protocol server that enables AI assistants to securely fetch and extract readable text content from web pages through a standardized interface.1MIT
- 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.13244 npmMIT
TDQS
B3.1/5.0
Scored across 5 tools
Disambiguation2/5
The tools have significant overlap in purpose, as all fetch content from URLs, differing only in output format. An agent could easily misselect between fetch-html, fetch-json, fetch-markdown, and fetch-text, since the descriptions don't clarify when to use one format over another. The generic 'fetch' tool with automatic detection further confuses boundaries, as it might duplicate or conflict with the format-specific tools.
Naming Consistency5/5
Tool names follow a highly consistent verb-noun pattern throughout, with all tools using 'fetch' as the verb followed by a hyphen and format descriptor (e.g., fetch-html, fetch-json). There are no deviations in style or convention, making the naming predictable and easy to parse for an agent.
Tool Count3/5
With 5 tools, the count is reasonable for a URL fetching server, but it feels borderline due to redundancy. The tools could potentially be consolidated into fewer, more flexible tools (e.g., a single fetch tool with a format parameter), making the current set feel slightly over-specified for the simple domain of fetching URLs.
Completeness4/5
For the domain of fetching URL content, the tool set is nearly complete, covering automatic detection and common output formats (HTML, JSON, Markdown, plain text). A minor gap exists in handling errors or advanced configurations (e.g., headers, timeouts), but agents can likely work around this with the provided tools for basic fetching tasks.
Maintenance
ActivityInactive
ResponsivenessNo issues