Airbyte Mailchimp Connector for AI platforms
Project description
Mailchimp agent connector
Mailchimp is an email marketing platform that enables businesses to create, send, and analyze email campaigns, manage subscriber lists, and automate marketing workflows. This connector provides read access to campaigns, lists, reports, email activity, automations, and more for marketing analytics and audience management.
Example questions
The Mailchimp connector is optimized to handle prompts like these.
- Show me all my email campaigns from the last month
- List all subscribers in my main mailing list
- What are the open rates for my recent campaigns?
- Show me the performance report for campaign {campaign_id}
- List all automation workflows in my account
- Who unsubscribed from list {list_id} this week?
- Show me all segments for my primary audience
- What tags are applied to my subscribers?
- List all interest categories for list {list_id}
- Show me email activity for campaign {campaign_id}
- How many subscribers do I have in each list?
- What are my top performing campaigns by click rate?
Unsupported questions
The Mailchimp connector isn't currently able to handle prompts like these.
- Create a new email campaign
- Add a subscriber to my list
- Delete a campaign
- Update subscriber information
- Send a campaign now
- Create a new automation workflow
Installation
uv pip install airbyte-agent-mailchimp
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_mailchimp import MailchimpConnector
from airbyte_agent_mailchimp.models import MailchimpAuthConfig
connector = MailchimpConnector(
auth_config=MailchimpAuthConfig(
api_key="<Your Mailchimp API key. You can find this in your Mailchimp account under Account > Extras > API keys.>"
)
)
@agent.tool_plain # assumes you're using Pydantic AI
@MailchimpConnector.tool_utils
async def mailchimp_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_mailchimp import MailchimpConnector
connector = MailchimpConnector(
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
@MailchimpConnector.tool_utils
async def mailchimp_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 |
|---|---|
| Campaigns | List, Get |
| Lists | List, Get |
| List Members | List, Get |
| Reports | List, Get |
| Email Activity | List |
| Automations | List |
| Tags | List |
| Interest Categories | List, Get |
| Interests | List, Get |
| Segments | List, Get |
| Segment Members | List |
| Unsubscribes | List |
Authentication and configuration
For all authentication and configuration options, see the connector's authentication documentation.
Mailchimp API docs
See the official Mailchimp API reference.
Version information
- Package version: 0.1.25
- Connector version: 1.0.4
- Generated with Connector SDK commit SHA: f6c6fca292b291b200b31e4056856465129ae703
Project details
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