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
Context MCP Server
by LangGPT
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TDQS
A3.6/5.0
Scored across 2 tools
Disambiguation2/5
The two tools have significant functional overlap. Both fetch URLs from the internet and handle content extraction, with fetch_and_save essentially being an enhanced version of fetch that adds file saving functionality. An agent would struggle to determine when to use fetch versus fetch_and_save since the core fetching behavior is duplicated.
Naming Consistency4/5
The naming follows a consistent snake_case pattern with clear verb-action structure. Both tools start with 'fetch' as the primary action, and fetch_and_save accurately describes the additional functionality. The minor deviation is that fetch doesn't specify its optional markdown extraction in the name, but this is reasonable.
Tool Count3/5
With only 2 tools, the server feels thin for a 'Context MCP Server' which suggests broader contextual capabilities. While internet fetching is a valuable function, a server with this name might be expected to offer additional context-related operations beyond just URL fetching and saving.
Completeness2/5
For a server named 'Context MCP Server', the toolset is severely incomplete. There are no tools for managing, searching, or analyzing fetched content, no context storage or retrieval mechanisms, and no integration with other context sources. The server essentially provides only basic URL fetching with file saving as an afterthought.
Maintenance
ActivityInactive
ResponsivenessNo issues