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Search, fetch, and list content from Astro/Starlight documentation sites.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "starlight-mcp" yet — see the docs or source repo.
Search this Astro/Starlight docs site for "i18n configuration" and return the most relevant document titles and paths.
A list of relevant documentation entries to quickly locate the target pages.
Fetch the documentation page at "/guides/content-collections/" and summarize its key steps.
The page content itself or a concise summary based on that content.
List the currently accessible documentation pages or structure of this Starlight docs site.
A list of documentation pages to help understand the site's content scope.
Developers using Astro or Starlight can search and read relevant documentation pages directly, reducing time spent browsing the site manually. It is useful for quickly confirming configuration, usage, and page locations while coding.
Writers or researchers can first list documentation pages and then read them by topic to understand what areas a docs site covers. This is useful for content inventory and knowledge review.
When you want AI to answer Astro/Starlight-related questions, it can first search and fetch the relevant documentation content, then summarize from that source. This helps keep answers closer to the original docs.
It is an MCP server for Astro/Starlight documentation sites. It provides tools to search, fetch, and list documentation content.
Based on the provided description, it supports three core operations: search, get, and list. In other words, it can search docs, fetch specific content, and list documentation entries.
The provided material does not include installation steps, runtime requirements, or authentication details. For prerequisites, see the source repository.
Find the most relevant GitHub starred repositories with keyword and semantic search.
Make any MkDocs documentation site searchable and explorable from MCP clients.
Search multiple documentation sites semantically to find technical information faster.
Access Star Wars data via MCP to quickly search characters, planets, and films.
Search MyST and Jupyter Book docs sites using published search indexes.
Retrieve the latest documentation and references for a queried library.