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Search internal Confluence docs with ranking and LLM-enhanced query rewriting.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ConfluenceMCP" yet — see the docs or source repo.
Search Confluence for internal documents related to "user permission validation" and return the results ranked by relevance.
A relevance-ranked list of related Confluence pages for quickly locating technical documentation.
I only remember the document may be about "quarterly planning meeting notes". Please optimize the query and search Confluence.
More accurate internal document results based on a refined search query.
Extract key nouns from "new employee onboarding process and access provisioning rules" and use them to search related Confluence documents.
Related pages retrieved around the extracted keywords, improving recall for complex topics.
Developers, product managers, or office workers can use it to quickly find existing specs, processes, or meeting notes in Confluence. It is useful when internal knowledge is scattered and users only remember partial keywords.
When users only remember the general topic instead of an exact page title, the tool can improve retrieval through query rewriting. This reduces the time spent trying multiple keywords manually.
For topics with many terms or inconsistent wording, noun extraction can support search and help users find relevant internal documents. It fits process guides, technical specs, and knowledge-base pages.
It is an MCP server for searching internal Confluence documentation. The provided description says it supports score-based ranking, noun extraction, and LLM query rewriting.
Based on the provided information, it does more than plain search by adding relevance ranking, noun extraction, and LLM query rewriting. For any additional capabilities, see the source repository.
The provided materials do not include installation steps, runtime requirements, or key configuration details. Please see the source repository for prerequisites.
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