About
The Sitemap MCP Server fetches, parses, and visualizes sitemaps from any website URL. It enables AI tools to analyze site architecture, uncover hidden pages, extract URLs, and create diagrammatic representations for quick insight.
Capabilities
The Sitemap MCP Server empowers AI assistants to introspect and analyze the structure of any website simply by providing its URL. Instead of manually crawling a site or parsing raw XML, the server fetches the sitemap, parses its hierarchical content, and exposes that information through a set of intuitive tools. This eliminates the need for developers to write custom scrapers or handle XML parsing, saving time and reducing complexity in AI workflows.
At its core, the server offers a collection of ready‑to‑use prompt templates for Claude Desktop. With just one click, users can ask questions such as “How many pages does a site have?” or “What URLs are missing content?” The prompts automatically invoke the server’s tools, retrieve the sitemap data, and return concise answers. This tight integration means that AI assistants can provide instant, accurate insights into a site’s health and coverage without leaving the chat interface.
Key capabilities include:
- get_sitemap_tree – Retrieves a nested representation of all URLs, capturing parent‑child relationships and depth.
- visualize_sitemap – Generates a graphical diagram of the site’s structure, allowing users to spot orphan pages or deep navigation paths at a glance.
- check_sitemap_health – Identifies broken links, missing pages, or duplicate entries within the sitemap.
- extract_urls – Returns a flat list of all URLs, optionally filtered by depth or pattern.
These features make the server invaluable for a range of scenarios. SEO specialists can audit site coverage, content teams can verify that new pages are indexed correctly, and developers can ensure that routing changes propagate through the sitemap. In a continuous integration pipeline, the server could automatically validate that every commit keeps the sitemap up to date, preventing broken links from reaching production.
Integration is straightforward: AI assistants simply declare the server in their configuration and invoke the exposed tools via prompts. The server supports both and SSE transports, allowing flexible deployment in local or cloud environments. By abstracting the complexities of sitemap handling behind a clean MCP interface, the Sitemap MCP Server lets developers focus on higher‑level business logic while giving AI assistants a powerful lens into website architecture.
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