How to Use the Confluence MCP in Claude

Search and update your team wiki directly from the Claude Desktop interface.

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Connect Confluence MCP to Claude Desktop

Create your Vinkius account to connect Confluence to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Confluence with Claude Desktop

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Manage wiki content in Claude Desktop

Stop switching tabs to find documentation. Use `get_page` or `search_confluence` to pull internal data straight into your chat window. Adding updates is just as fast. Call `create_page` or `add_page_comment` to draft new documentation or provide feedback without leaving the app.

Navigate Confluence spaces

Get a clear view of your project hierarchy by running `list_spaces`. It provides the metadata you need to understand current permissions and homepage structures. Drill down into specific areas using `list_pages`. This MCP Server handles the pagination so you can scan long lists of documents quickly.

Read page history and comments

Keep track of team discussions by using `list_page_comments`. You get the author and content for every note attached to a page. Reviewing changes is simple when you call `get_page`. It delivers the full version history and body content so you never miss a revision.

Setup guide

Set up Confluence MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Confluence MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Confluence MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under confluence-mcp.

json

{
  "mcpServers": {
    "confluence-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Confluence. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Confluence MCP in Claude Desktop

Yes. You can use the search tool to query your wiki using CQL. It returns pages, blog posts, and comments based on your specific keywords.

You trigger the create tool by providing the space key, title, and your content in HTML format. The server places your new page at the root of the specified space.

It does. You can list all inline and footer comments for any document to see what your team is saying.

Vinkius manages the connection via a single endpoint token. Your credentials stay secure and are never exposed to the local machine.

The server only touches your wiki content and metadata. We use isolated memory buffers and encrypted transit to ensure your page body and history stay private.

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