Confluence Wiki MCP Server Extension
@WindieChai
关于 Confluence Wiki MCP Server Extension
A VSCode/Cursor extension providing an MCP Server for Confluence Wiki integration
基本信息
配置
工具
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概览
What is Confluence Wiki MCP Server Extension?
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.
How to use Confluence Wiki MCP Server Extension?
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.
Key features of Confluence Wiki MCP Server Extension
- Confluence Wiki integration through MCP Server
- Secure encrypted credential storage
- Convert Wiki content to Markdown format
- Easy configuration interface in VS Code/Cursor
Use cases of Confluence Wiki MCP Server Extension
- Fetching Confluence page content for AI summarization in Cursor
- Retrieving internal documentation for code generation or review
- Converting Wiki pages to Markdown for further processing
FAQ from Confluence Wiki MCP Server Extension
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.
How do I set up the MCP Server in Cursor?
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.
How do I use it to fetch a Wiki 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.
Are my credentials stored securely?
Yes. Credentials are saved in an encrypted file and are never exposed in VS Code settings.
What dependencies does the extension require?
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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