airbyte-agent-tiktok-marketing 0.1.3

Airbyte Tiktok-Marketing Connector for AI platforms

Tiktok-Marketing

The Tiktok-Marketing agent connector is a Python package that equips AI agents to interact with Tiktok-Marketing through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.

Connector for the TikTok Marketing API (Business API v1.3). Provides access to advertiser accounts, campaigns, ad groups, ads, audiences, creative assets (images and videos), and daily performance reports at the advertiser, campaign, ad group, and ad levels. Requires an Access Token from the TikTok for Business platform. All list operations require an advertiser_id parameter to scope results to a specific advertiser account.

Example questions

The Tiktok-Marketing connector is optimized to handle prompts like these.

• List all my TikTok advertisers
• Show me all campaigns for my advertiser account
• List all ad groups
• Show me all ads
• List my custom audiences
• Show me all creative asset images
• List creative asset videos
• Show me daily ad performance reports
• Get campaign performance metrics for the last 30 days
• Show me advertiser spend reports
• Which campaigns have the highest budget?
• Find all paused ad groups
• What ads were created last month?
• Show campaigns with lifetime budget mode
• Which ads had the most impressions yesterday?
• What is my total ad spend this month?
• Which campaigns have the highest click-through rate?

Unsupported questions

The Tiktok-Marketing connector isn't currently able to handle prompts like these.

• Create a new campaign
• Update ad group targeting
• Delete an ad

Installation

uv pip install airbyte-agent-tiktok-marketing

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_tiktok_marketing import TiktokMarketingConnector
from airbyte_agent_tiktok_marketing.models import TiktokMarketingAuthConfig

connector = TiktokMarketingConnector(
    auth_config=TiktokMarketingAuthConfig(
        access_token="<Your TikTok Marketing API access token>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@TiktokMarketingConnector.tool_utils
async def tiktok_marketing_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_tiktok_marketing import TiktokMarketingConnector, AirbyteAuthConfig

connector = TiktokMarketingConnector(
    auth_config=AirbyteAuthConfig(
        external_user_id="<your_external_user_id>",
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@TiktokMarketingConnector.tool_utils
async def tiktok_marketing_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Full documentation

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Entity	Actions
Advertisers	List, Search
Campaigns	List, Search
Ad Groups	List, Search
Ads	List, Search
Audiences	List, Search
Creative Assets Images	List, Search
Creative Assets Videos	List, Search
Advertisers Reports Daily	List, Search
Campaigns Reports Daily	List, Search
Ad Groups Reports Daily	List, Search
Ads Reports Daily	List, Search

Authentication

For all authentication options, see the connector's authentication documentation.

Tiktok-Marketing API docs

See the official Tiktok-Marketing API reference.

Version information

• Package version: 0.1.3
• Connector version: 1.1.2
• Generated with Connector SDK commit SHA: 1c0056b9f6a8151cadd0f591788beba76579b2f3
• Changelog: View changelog