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Confluence Wiki MCP Server Extension

Confluence Wiki MCP Server Extension

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github.com/WindieChaiMemory & Knowledge6Updated 87w ago
Repository

About Confluence Wiki MCP Server Extension

A VSCode and Cursor extension that connects Confluence Wiki to an MCP server. It stores credentials in an encrypted file and converts fetched wiki content to Markdown for AI clients.

Key features

  1. 01Confluence Wiki connection
  2. 02Configuration interface
  3. 03Encrypted credential storage
  4. 04Wiki content conversion to Markdown

Use cases

  1. 01Fetch a Confluence page for an AI chat
  2. 02Provide wiki content in Markdown
  3. 03Configure wiki credentials through the extension

MCP support

Provides an MCP server that lets MCP clients fetch Confluence Wiki content and receive it as Markdown.

#confluence#mcp-server#wiki-integration

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.