Support for documentation-wide exact full-text search, batch article retrieval, and machine-readable export in the Document360 MCP app. This will enable efficient searches across large knowledge bases without having to retrieve articles individually.

Problem statements

Documentation-wide exact full-text search — Problem: the search tool is semantic-only, so a lookup for a known literal token (his placeholder tag, a code string, a product term) silently fails across the KB — the exact experiment that broke on the call. Solution: add an exact/literal (and regex) match mode to search that scans full article text across every category and version and returns all occurrences

Return a scoped match list with URLs — Problem: his QA workflows start from a list, scoped to a whole category or the entire KB — not one article — and today no tool produces one. Solution: have search (or a new list-articles) return a structured list of matches — ID, title, URL, category/version metadata — with category/KB scope filters and a result-count limit, exactly the shape confirmed on the call.

Currently Mintlify and Gitbook MCP server tools have solution to above problem statements. Please add this requirement to your MCP server tools backlog and prioritise.

References