Confluence Wiki MCP Server Extension

by MCP-Mirror

330 downloads
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About

This is a VSCode/Cursor extension that provides an MCP (Model Context Protocol) server for integrating with Confluence Wiki. It allows users to configure a secure connection to a Confluence instance, fetch wiki content, and convert it to Markdown for use by AI models in Cursor.

Details

Author
MCP-Mirror
Downloads
330
Categories
Knowledge Base

- Integrates with Confluence Wiki via an MCP Server
- Easy configuration interface with secure credential storage
- Converts Wiki content to Markdown format

Open the Command Palette and run “Confluence Wiki MCP Server: Configuration” to enter your Confluence host URL, username, and password. Credentials are saved in an encrypted file. Then in Cursor’s MCP settings, add a new MCP server with the name “Wiki”, type “Command”, and the command path shown on the configuration page. In a chat with an AI model, include a Confluence Wiki URL in your prompt; the tool will fetch, convert to Markdown, and pass the content to the AI.

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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