Confluence AI Assistant
Connects Confluence with various AI models lacking native Model Context Protocol support, enabling secure and intelligent access to internal knowledge bases.
소개
The Confluence AI Assistant bridges the gap between Confluence and popular AI models like Google Gemini or OpenAI's ChatGPT that don't natively support Atlassian's Model Context Protocol (MCP). By providing a custom MCP client and router, it allows users to safely query, search, and summarize Confluence content using natural language prompts. This tool excels at interpreting complex queries, fetching relevant information, and intelligently summarizing pages or search results, significantly enhancing how teams interact with their internal documentation and knowledge. It is specifically designed for non-destructive, read-only operations, prioritizing data safety by intentionally omitting functionalities like creating, editing, or deleting Confluence pages.
주요 기능
- Natural Language Processing: Utilizes Google Gemini AI to understand complex queries and generate optimal Confluence CQL.
- Intelligent Search & Smart Summarization: Automatically generates CQL queries for content retrieval and provides AI-powered summaries for pages and search results.
- Multi-step Operations: Chains operations intelligently (e.g., search → get → summarize) to fulfill advanced user requests.
- Context-Aware Interaction: Understands user intent beyond keywords, differentiating between viewing, searching, or summarizing needs.
- Secure & Docker-based MCP: Ensures secure configuration via environment variables and utilizes a containerized Confluence client for reliability and isolation.
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사용 사례
- Quickly find, retrieve, and summarize specific Confluence pages or sections using natural language queries.
- Generate overviews or executive summaries of entire Confluence spaces or broad search results without manual page-by-page review.
- Access and interpret complex documentation or policy information within Confluence by posing direct questions.