mcp-server-atlassian-confluence

mcp-server-atlassian-confluence

3.4
communicationcloud_platformsknowledge_and_memory

If you are the rightful owner of mcp-server-atlassian-confluence and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Node.js/TypeScript Model Context Protocol (MCP) server for Atlassian Confluence Cloud, enabling AI systems to interact with Confluence spaces, pages, and content securely.

The Atlassian Confluence MCP Server is designed to facilitate secure and efficient interaction between AI systems and Confluence Cloud. By implementing the Model Context Protocol (MCP), this server allows AI assistants to access and manipulate Confluence content programmatically. It supports a range of features including minimal input for maximum output, comprehensive access to knowledge bases, and secure local authentication. The server converts Atlassian Document Format to Markdown, ensuring that responses are well-structured and easy to read. This tool is particularly useful for organizations looking to integrate AI capabilities with their Confluence documentation, wikis, and knowledge bases, providing a seamless way to enhance productivity and information retrieval.

Features

  • Minimal Input, Maximum Output: Simple identifiers provide comprehensive details without requiring extra flags.
  • Complete Knowledge Base Access: Give AI assistants visibility into documentation, wikis, and knowledge base content.
  • Rich Content Formatting: Automatic conversion of Atlassian Document Format to readable Markdown.
  • Secure Local Authentication: Run locally with your credentials, never storing tokens on remote servers.
  • Intuitive Markdown Responses: Well-structured, consistent Markdown formatting for all outputs.

Tools

  1. list_spaces`

    List available Confluence spaces, support filtering

  2. get_space`

    Get detailed information about a specific space, including homepage information

  3. list_pages`

    List pages in the space, support filtering

  4. get_page`

    Get the complete content and metadata of a specific page

  5. search`

    Search for content using CQL (Confluence Query Language)

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