The SSE protocol will be deprecated soon. Please use streamable-http as the connectionType moving forward.

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Prerequisites

To get the most out of this guide, you’ll need to:

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1. Create a Confluence MCP Server

Use the following endpoint to create a new remote Confluence MCP server instance:

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Request

curl --request POST \
  --url https://api.klavis.ai/mcp-server/instance/create \
  --header 'Authorization: Bearer <YOUR_API_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
  "serverName": "Confluence",
  "userId": "<YOUR_USER_ID>",
  "platformName": "<YOUR_PLATFORM_NAME>"
}'

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Response

{
  "serverUrl": "https://confluence-mcp-server.klavis.ai/sse?instance_id=<instance-id>",
  "instanceId": "<instance-id>"
}
serverUrl specifies the endpoint of the Confluence MCP server, which allows you to interact with Confluence spaces, pages, and content.
instanceId is used to get an authentication token. After you complete the OAuth flow, this token allows the MCP server to access Confluence on your behalf.

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2. Confluence OAuth Flow

To enable your MCP server to access Confluence, you need to authenticate with Confluence’s OAuth flow.

const authUrl = `https://api.klavis.ai/oauth/confluence/authorize?instance_id=${instanceId}`;
window.location.href = authUrl;

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