Help teams retrieve exact answers from existing documentation
dubstack makes documentation easier to retrieve by combining hosted search, source-linked assistant answers, public read-only MCP tools, and optional advanced retrieval for deeper docs understanding.
Key points
Users can ask natural-language questions from the docs site assistant.
Answers can link back to source pages so readers can verify the full context.
Public MCP tools let compatible agents search and read published docs directly.
Question trends can become workflow signals for improving missing or unclear documentation.
Why retrieval needs structure
Documentation retrieval works best when content has clear pages, stable URLs, metadata, and source-linked answers. Without that structure, AI tools often rely on stale memory or generic web snippets.
- -Stable URLs give answers a citation target.
- -Structured navigation and metadata help agents understand the docs surface.
- -Source-linked answers make retrieval auditable for users and support teams.
Retrieval surfaces in dubstack
dubstack separates public read access from authenticated authoring. Visitors and agents can retrieve published docs, while owners use authenticated workflows for edits and updates.
- -Search helps users find relevant docs pages quickly.
- -Assistant retrieval answers questions from published docs.
- -Public MCP exposes read-only search and filesystem-style docs access for agents.
- -Dashboard workflows can turn repeated questions into reviewable docs improvements.
Questions
Can dubstack help users find specific information in existing docs?
Yes. dubstack supports search, source-linked assistant answers, and public read-only MCP access so users and agents can retrieve information from published documentation.
Is public retrieval the same as authoring access?
No. Public retrieval is read-only. Authenticated authoring, workflows, and repository updates stay behind the dashboard and Git review boundaries.