How do I configure the connection?
Open the Command Palette, choose “Confluence Wiki MCP Server: Configuration”, enter your host URL, username, and password, and click “Save Configuration”. Credentials are stored in an encrypted file.
@WindieChai
基本信息
A VSCode/Cursor extension providing an MCP Server for Confluence Wiki integration
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A VS Code and Cursor extension that provides an MCP (Model Context Protocol) server for integrating Confluence Wiki pages into AI-assisted coding workflows. It converts Wiki content to Markdown format and securely stores credentials.
Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and select “Confluence Wiki MCP Server: Configuration”. Enter your Confluence host URL, username, and password, then click “Save Configuration”. In Cursor, go to Settings → MCP → “Add new MCP Server”, name it “Wiki”, set Type to “Command”, and paste the path shown in the configuration page. To use, include a Wiki URL in your chat prompt; Cursor will prompt you to run the MCP tool.
Open the Command Palette, choose “Confluence Wiki MCP Server: Configuration”, enter your host URL, username, and password, and click “Save Configuration”. Credentials are stored in an encrypted file.
In Cursor Settings, navigate to the “MCP” section, click “Add new MCP Server”, set the Name to “Wiki”, Type to “Command”, and paste the path shown in the extension’s configuration page.
In a chat with an AI model (e.g., Claude) in Cursor, include the Wiki URL in your prompt. Cursor will detect the URL and prompt you to call the MCP tool; click “Run tool” to fetch and convert the content.
Yes. Credentials are saved in an encrypted file and are never exposed in VS Code settings.
It runs inside VS Code or Cursor and requires a Confluence Wiki instance accessible with a username and password. No additional MCP runtime is needed beyond the extension itself.

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