site-context-mcp
Related Servers
Alternatives to site-context-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables agents to discover the llms.txt index covering any site, fetch its linked documentation pages as markdown, and search across parsed indexes by section heading, link title, and notes.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to perform LLM-optimized web searches, retrieve recent news articles with full text, and extract clean readable content from URLs. It returns synthesized answers, ranked cited sources, and page text suitable for grounding RAG workflows.106 npmMIT
- FlicenseNot gradedqualityNot gradedmaintenanceEnables querying and retrieving content from webpages by parsing sitemap.xml files and fetching HTML content from specified URLs. Includes rate limiting for abuse protection.-
- AlicenseBqualityDmaintenanceEnables web search through DuckDuckGo and webpage content fetching with intelligent text extraction. Features built-in rate limiting and LLM-optimized result formatting for seamless integration with language models.2MIT
- AlicenseNot gradedqualityNot gradedmaintenanceProvides controlled access to llms.txt documentation files through MCP tools, allowing AI assistants to fetch and read documentation from user-approved domains with full audit visibility of tool calls and context retrieval.MIT
- AlicenseAqualityBmaintenanceProvides AI-driven web search, page fetching, and site mapping with real xAI citations, enabling LLM clients to access up-to-date external information.131MIT
TDQS
Scored across 4 tools
Each tool has a clear, non-overlapping purpose: listing pages, fetching a single page, searching the corpus, and retrieving project evidence. No two tools could be confused for the same operation.
All tools follow a consistent verb_noun pattern in snake_case: list_site_pages, get_page, search_site, get_project. The naming is uniform and predictable.
Four tools is a well-scoped set for a site-context server—enough to cover enumeration, retrieval, search, and specialized project data without redundancy or bloat.
The surface covers the core needs for browsing a cached site corpus: list, get, search, and project-specific lookup. There are no obvious missing operations for a read-only context server.