Skip to main content

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.

  • 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.

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(
        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, Search
Lists List, Get, Search
List Members List, Get
Reports List, Get, Search
Email Activity List, Search
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: 0.1.52
  • Connector version: 1.0.7
  • Generated with Connector SDK commit SHA: df1e8094b5b2d94e172536ce7f33fb98f2c3fdc1
  • Changelog: View changelog

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airbyte_agent_mailchimp-0.1.52.tar.gz (167.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

airbyte_agent_mailchimp-0.1.52-py3-none-any.whl (190.2 kB view details)

Uploaded Python 3

File details

Details for the file airbyte_agent_mailchimp-0.1.52.tar.gz.

File metadata

  • Download URL: airbyte_agent_mailchimp-0.1.52.tar.gz
  • Upload date:
  • Size: 167.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for airbyte_agent_mailchimp-0.1.52.tar.gz
Algorithm Hash digest
SHA256 25bb8d46f1f2055ab051ac1348027aa8b5dd49f45148eb9a91c264eb1358a444
MD5 5f2d340bd9338dcf64194b1deb393e4b
BLAKE2b-256 1a62af254b708aca82e7b04738c0763357794d596ce1c1782b2efa1488d611ab

See more details on using hashes here.

File details

Details for the file airbyte_agent_mailchimp-0.1.52-py3-none-any.whl.

File metadata

File hashes

Hashes for airbyte_agent_mailchimp-0.1.52-py3-none-any.whl
Algorithm Hash digest
SHA256 fcf3b28b0e1ba8704eac19409adb04302761bfadb5ac3481cf5ce3a9a8c70d99
MD5 2426da95129ef07a415a2faba21a0e6e
BLAKE2b-256 24f81b45cf3a097ffa15c3e9d2c0c9de17aa79965ed0197afb6024308fd6f171

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page