Mailchimp

The Mailchimp agent connector is a Python package that equips AI agents to interact with Mailchimp 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.

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.

List all subscribers in my main mailing list
List all automation workflows in my account
Show me all segments for my primary audience
List all interest categories for my primary audience
Show me email activity for a recent campaign
Show me the performance report for a recent campaign
Show me all my email campaigns from the last month
What are the open rates for my recent campaigns?
Who unsubscribed from list {list_id} this week?
What tags are applied to my subscribers?
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. If your Airbyte client can access multiple organizations, also set organization_id.

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, AirbyteAuthConfig

connector = MailchimpConnector(
    auth_config=AirbyteAuthConfig(
        customer_name="<your_customer_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        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, Context Store Search
Lists	List, Get, Context Store Search
List Members	List, Get
Reports	List, Get, Context Store Search
Email Activity	List, Context Store Search
Automations	List
Tags	List
Interest Categories	List, Get
Interests	List, Get
Segments	List, Get
Segment Members	List
Unsubscribes	List

Authentication

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

Mailchimp API docs

See the official Mailchimp API reference.

Version information

Package version: 0.1.87
Connector version: 1.0.11
Generated with Connector SDK commit SHA: c5258debd165ab701252c1436d4acfb475bf92b9
Changelog: View changelog

Release files for airbyte-agent-mailchimp 0.1.87

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for airbyte-agent-mailchimp 0.1.87
File	Size	Uploaded
airbyte_agent_mailchimp-0.1.87.tar.gz	192.5 kB	Apr 9, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for airbyte-agent-mailchimp 0.1.87
File	Interpreter	ABI	Platform	Reset
airbyte_agent_mailchimp-0.1.87-py3-none-any.whl 216.2 kB Apr 9, 2026	Python 3	none	any	Details

Total release size: 408.7 kB

Release files / airbyte_agent_mailchimp-0.1.87.tar.gz

Download URL	airbyte_agent_mailchimp-0.1.87.tar.gz
Size	192.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`1e07797f83eca1842c591e44f762dfa34269d0a3eaadb7bdda10e817940f34e8`
BLAKE2b-256 checksum How to use checksums	`4a966569b902e33fb8e7beb4cf3664c4dac843f31b98ed5f409e92c9f57eccb9`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`

Release files / airbyte_agent_mailchimp-0.1.87-py3-none-any.whl

Download URL	airbyte_agent_mailchimp-0.1.87-py3-none-any.whl
Size	216.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`4ff3b7ae742c2e46aca907432cd1447e43a36cda44b1d25d3fe0ed0e91c10770`
BLAKE2b-256 checksum How to use checksums	`d74b37f647f60def8bb58fac645a5075b0232eb37637df3c9fd86fca65ad9076`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`