A
securityF
licenseA
qualityEnables AI assistants to interact with Confluence Cloud for managing spaces, pages, and content via the Model Context Protocol (MCP).
Last updated -
11
13
TypeScript
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
- 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
- Open Command Palette (
- 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]
- 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:
- 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.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables VSCode/Cursor to integrate with Confluence Wiki, allowing AI models to access and process wiki content by fetching pages and converting them to Markdown format.
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