> **Building with AI coding agents?** If you're using an AI coding agent, install the official Scalekit plugin. It gives your agent full awareness of the Scalekit API — reducing hallucinations and enabling faster, more accurate code generation.
>
> - **Claude Code**: `/plugin marketplace add scalekit-inc/claude-code-authstack` then `/plugin install <auth-type>@scalekit-auth-stack`
> - **GitHub Copilot CLI**: `copilot plugin marketplace add scalekit-inc/github-copilot-authstack` then `copilot plugin install <auth-type>@scalekit-auth-stack`
> - **Codex**: run the bash installer, restart, then open Plugin Directory and enable `<auth-type>`
> - **Skills CLI** (Windsurf, Cline, 40+ agents): `npx skills add scalekit-inc/skills --list` then `--skill <skill-name>`
>
> `<auth-type>` / `<skill-name>`: `agentkit`, `full-stack-auth`, `mcp-auth`, `modular-sso`, `modular-scim` — [Full setup guide](https://docs.scalekit.com/dev-kit/build-with-ai/)

---

# Confluence

**Authentication:** OAuth 2.0
**Categories:** Project Management, Files, Documents
## Authentication

This connector uses **OAuth 2.0**. Scalekit acts as the OAuth client: it redirects your user to Confluence, obtains an access token, and automatically refreshes it before it expires. Your agent code never handles tokens directly — you only pass a `connectionName` and a user `identifier`.

You supply your Confluence **Connected App** credentials (Client ID + Secret) once per environment in the Scalekit dashboard.

Before calling this connector from your code, create the Confluence connection in **AgentKit** > **Connections** and copy the exact **Connection name** from that connection into your code. The value in code must match the dashboard exactly.

## Set up the connector

Register your Scalekit environment with the Confluence connector so Scalekit handles the authentication flow and token lifecycle for you. The connection name you create will be used to identify and invoke the connection programmatically. Then complete the configuration in your application as follows:

1. ### Set up auth redirects

    - In [Scalekit dashboard](https://app.scalekit.com), go to **AgentKit** > **Connections** > **Create Connection**. Find **Confluence** and click **Create**. Copy the redirect URI. It looks like `https:///sso/v1/oauth//callback`.

      > Image: Copy redirect URI from Scalekit dashboard

    - In the [Atlassian Developer Console](https://developer.atlassian.com/console/myapps/), open your app and go to **Authorization** → **OAuth 2.0 (3LO)** → **Configure**.

    - Paste the copied URI into the **Callback URL** field and click **Save changes**.

      > Image: Add callback URL in Atlassian Developer Console

2. ### Get client credentials

    In the [Atlassian Developer Console](https://developer.atlassian.com/console/myapps/), open your app and go to **Settings**:

    - **Client ID** — listed under **Client ID**
    - **Client Secret** — listed under **Secret**

3. ### Add credentials in Scalekit

    - In [Scalekit dashboard](https://app.scalekit.com), go to **AgentKit** > **Connections** and open the connection you created.

    - Enter your credentials:
      - Client ID (from your Atlassian app settings)
      - Client Secret (from your Atlassian app settings)
      - Permissions (scopes — see [Confluence OAuth scopes reference](https://developer.atlassian.com/cloud/confluence/scopes-for-oauth-2-3LO-and-forge-apps/))

      > Image: Add credentials for Confluence in Scalekit dashboard
    - Click **Save**.

## Code examples

Connect a user's Confluence account and make API calls on their behalf — Scalekit handles OAuth and token management automatically.

**Don't worry about the Confluence cloud ID in the path.** Scalekit automatically resolves `{{cloud_id}}` from the connected account's configuration. For example, a request with `path="/wiki/rest/api/user/current"` will be sent to `https://api.atlassian.com/ex/confluence/a1b2c3d4-e5f6-7890-abcd-ef1234567890/wiki/rest/api/user/current` automatically.

## Proxy API Calls

  ### Node.js

```typescript

const connectionName = 'confluence'; // get your connection name from connection configurations
const identifier = 'user_123';  // your unique user identifier

// Get your credentials from app.scalekit.com → Developers → Settings → API Credentials
const scalekit = new ScalekitClient(
  process.env.SCALEKIT_ENV_URL,
  process.env.SCALEKIT_CLIENT_ID,
  process.env.SCALEKIT_CLIENT_SECRET
);
const actions = scalekit.actions;

// Authenticate the user
const { link } = await actions.getAuthorizationLink({
  connectionName,
  identifier,
});
console.log('🔗 Authorize Confluence:', link);
process.stdout.write('Press Enter after authorizing...');
await new Promise(r => process.stdin.once('data', r));

// Make a request via Scalekit proxy
const result = await actions.request({
  connectionName,
  identifier,
  path: '/wiki/rest/api/user/current',
  method: 'GET',
});
console.log(result);
```

  ### Python

```python

from dotenv import load_dotenv
load_dotenv()

connection_name = "confluence"  # get your connection name from connection configurations
identifier = "user_123"     # your unique user identifier

# Get your credentials from app.scalekit.com → Developers → Settings → API Credentials
scalekit_client = scalekit.client.ScalekitClient(
    client_id=os.getenv("SCALEKIT_CLIENT_ID"),
    client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
    env_url=os.getenv("SCALEKIT_ENV_URL"),
)
actions = scalekit_client.actions

# Authenticate the user
link_response = actions.get_authorization_link(
    connection_name=connection_name,
    identifier=identifier
)
# present this link to your user for authorization, or click it yourself for testing
print("🔗 Authorize Confluence:", link_response.link)
input("Press Enter after authorizing...")

# Make a request via Scalekit proxy
result = actions.request(
    connection_name=connection_name,
    identifier=identifier,
    path="/wiki/rest/api/user/current",
    method="GET"
)
print(result)
```


---

## More Scalekit documentation

| Resource | What it contains | When to use it |
|----------|-----------------|----------------|
| [/llms.txt](/llms.txt) | Structured index with routing hints per product area | Start here — find which documentation set covers your topic before loading full content |
| [/llms-full.txt](/llms-full.txt) | Complete documentation for all Scalekit products in one file | Use when you need exhaustive context across multiple products or when the topic spans several areas |
| [sitemap-0.xml](https://docs.scalekit.com/sitemap-0.xml) | Full URL list of every documentation page | Use to discover specific page URLs you can fetch for targeted, page-level answers |