What is Confluence Wiki Mcp Server Extension

The confluence-wiki-mcp-server-extension is a VSCode/Cursor extension that provides an MCP Server for integrating with Confluence Wiki, allowing users to interact with Wiki content seamlessly.

Use cases

Use cases include summarizing content from Confluence Wiki pages, converting Wiki documentation into Markdown for easier sharing, and enhancing productivity by leveraging AI to interact with Wiki content.

How to use

To use the extension, configure the Confluence Wiki connection through the Command Palette in VSCode, set up the MCP Server in Cursor settings, and then utilize the server by prompting an AI model with the Wiki URL to fetch and convert content to Markdown.

Key features

Key features include integration with Confluence Wiki via MCP Server, an easy configuration interface with secure credential storage, and the ability to convert Wiki content into Markdown format.

Where to use

This extension is particularly useful in environments where teams utilize Confluence Wiki for documentation and need to integrate that content with AI models or other applications.

Confluence Wiki MCP Server Extension

A VSCode/Cursor extension providing an MCP Server for Confluence Wiki integration.

Features

• Integrate with Confluence Wiki through MCP Server
• Easy configuration interface with secure credential storage
• Convert Wiki content to Markdown format

How to Use

1. Configure Confluence Wiki Connection

   • Open Command Palette (Cmd+Shift+P / Ctrl+Shift+P)
   • Type “Confluence Wiki MCP Server: Configuration” and select it
   • In the configuration page, enter your:
     • Confluence Wiki Host URL
     • Username
     • Password
   • Click “Save Configuration” button
   • Your credentials will be securely stored in an encrypted file

2. Set up MCP Server in Cursor

   • Open Cursor’s Settings
   • Navigate to “MCP” section
   • Click “Add new MCP Server”
   • Configure the server with following information:
     • Name: Wiki
     • Type: Command
     • Command: [The path shown in Configuration page]

3. Using the Wiki MCP Server in Cursor

   • Open a chat with Claude or another AI model in Cursor
   • Switch to “Edit” or “Agent” mode for best results
   • In your prompt, include the Wiki URL and any specific requirements, for example:

     Please summarize the content from this Confluence Wiki page: 
     https://your-wiki-url
     

   • Send your message
   • Cursor will recognize the Wiki URL and prompt you to call this MCP Tool
   • Click “Run tool” when prompted
   • The extension will fetch the content, convert it to Markdown, and provide it to the AI model
   • The AI will then respond based on the Wiki content

After completing these steps, your Cursor will be able to fetch content from your Confluence Wiki through the MCP Server.

Note: Your credentials are stored securely in an encrypted file and are never exposed in VSCode settings.