site-context-mcp
Related Servers
Alternatives to site-context-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables agents to find relevant documentation with source URLs, evidence, and freshness, search and browse an llms.txt directory, validate or draft llms.txt files, and manage site registration, verification, and change watches.MIT
- 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.28 npmMIT
- AlicenseNot gradedqualityAmaintenanceFetches webpages and converts them into clean, token-efficient Markdown, optionally crawling multiple linked pages while respecting robots.txt and caching results for AI agents and LLM pipelines.MIT
- 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.-
- FlicenseNot gradedqualityAmaintenanceFetches web content locally, removes clutter, and converts pages to clean Markdown for efficient LLM consumption, with optional crawling and caching.-
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.