Confluence Wiki MCP Server Extension
About
A VSCode/Cursor extension providing an MCP Server for Confluence Wiki integration
Details
- Author
- WindieChai
- GitHub stars
- 6
- Downloads
- 251
- Categories
- Knowledge Base
Jump to
- Confluence Wiki integration through MCP Server
- Secure encrypted credential storage
- Convert Wiki content to Markdown format
- Easy configuration interface in VS Code/Cursor
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.
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.
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