# Create AI Avatar Photo — JoggAI

> Creates an AI avatar photo using JoggAI API. See the documentation

- Key: `joggai-create-ai-avatar-photo`
- Type: Action (Write)
- Version: 0.0.2
- App: JoggAI (`joggai`) — https://pipedream.com/apps/joggai.md
- This page (HTML): https://pipedream.com/apps/joggai/actions/create-ai-avatar-photo
- Hints: open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/joggai/actions/create-ai-avatar-photo/create-ai-avatar-photo.mjs

## Description

Creates an AI avatar photo using JoggAI API. [See the documentation](https://docs.jogg.ai/api-reference/Avatar/GenerateAIAvatarPhoto)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `age` | `string` | Yes | Age of the avatar. |
| `aspectRatio` | `string` | Yes | Aspect ratio of the avatar. |
| `avatarStyle` | `string` | Yes | Style of the avatar. |
| `gender` | `string` | Yes | Gender of the avatar. |
| `model` | `string` | Yes | Model of the avatar. |
| `appearance` | `string` | No | Appearance of the avatar. |
| `background` | `string` | No | Background of the avatar. |
| `ethnicity` | `string` | No | Ethnicity of the avatar. |
| `imageUrl` | `string` | No | URL of the image to use for the avatar. |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "joggai",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "joggai-create-ai-avatar-photo",
  arguments: {
    age: "Age",
    aspectRatio: "Aspect Ratio",
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "joggai-create-ai-avatar-photo",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    joggai: { authProvisionId: "apn_xxxxxxx" },
    age: "Age",
    aspectRatio: "Aspect Ratio",
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "joggai-create-ai-avatar-photo",
    "configured_props": {
      "joggai": { "authProvisionId": "apn_xxxxxxx" },
      "age": "Age",
      "aspectRatio": "Aspect Ratio"
    }
  }'
```

---

- App: https://pipedream.com/apps/joggai.md · All apps: https://pipedream.com/apps