Module airbyte_agent_sdk.connectors.mailchimp.connector

Mailchimp connector.

Classes

AutomationsQuery(connector: MailchimpConnector) : Query class for Automations entity operations.

Initialize query with connector reference.

Methods

list(self, count: int | None = None, offset: int | None = None, before_create_time: str | None = None, since_create_time: str | None = None, before_start_time: str | None = None, since_start_time: str | None = None, status: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[Automation], AutomationsListResultMeta] : Get a summary of an account's classic automations

Args: count: The number of records to return offset: Used for pagination before_create_time: Restrict the response to automations created before this time since_create_time: Restrict the response to automations created after this time before_start_time: Restrict the response to automations started before this time since_start_time: Restrict the response to automations started after this time status: Restrict the results to automations with the specified status **kwargs: Additional parameters

Returns: AutomationsListResult

CampaignsQuery(connector: MailchimpConnector) : Query class for Campaigns entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: CampaignsSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.mailchimp.models.AirbyteSearchResult[CampaignsSearchData] : Search campaigns records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (CampaignsSearchFilter):

ab_split_opts: A/B Testing options for a campaign.
archive_url: The link to the campaign's archive version in ISO 8601 format.
content_type: How the campaign's content is put together.
create_time: The date and time the campaign was created in ISO 8601 format.
delivery_status: Updates on campaigns in the process of sending.
emails_sent: The total number of emails sent for this campaign.
id: A string that uniquely identifies this campaign.
long_archive_url: The original link to the campaign's archive version.
needs_block_refresh: Determines if the campaign needs its blocks refreshed by opening the web-based campaign editor. D...
parent_campaign_id: If this campaign is the child of another campaign, this identifies the parent campaign. For Examp...
recipients: List settings for the campaign.
report_summary: For sent campaigns, a summary of opens, clicks, and e-commerce data.
resendable: Determines if the campaign qualifies to be resent to non-openers.
rss_opts: RSS options for a campaign.
send_time: The date and time a campaign was sent.
settings: The settings for your campaign, including subject, from name, reply-to address, and more.
social_card: The preview for the campaign, rendered by social networks like Facebook and Twitter. [Learn more]...
status: The current status of the campaign.
tracking: The tracking options for a campaign.
type_: There are four types of campaigns y...
variate_settings: The settings specific to A/B test campaigns.
web_id: The ID used in the Mailchimp web application. View this campaign in your Mailchimp account at `ht...

Args: query: Filter and sort conditions. Supports operators like eq, neq, gt, gte, lt, lte, in, like, fuzzy, keyword, not, and, or. Example: {"filter": {"eq": {"status": "active"}}} limit: Maximum results to return (default 1000) cursor: Pagination cursor from previous response's meta.cursor fields: Field paths to include in results. Each path is a list of keys for nested access. Example: [["id"], ["user", "name"]] returns id and user.name fields.

Returns: CampaignsSearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

get(self, campaign_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.Campaign : Get information about a specific campaign

Args: campaign_id: The unique id for the campaign **kwargs: Additional parameters

Returns: Campaign

Args: count: The number of records to return. Default is 10. Maximum is 1000. offset: Used for pagination, this is the number of records from a collection to skip. type: The campaign type status: The status of the campaign before_send_time: Restrict the response to campaigns sent before the set time since_send_time: Restrict the response to campaigns sent after the set time before_create_time: Restrict the response to campaigns created before the set time since_create_time: Restrict the response to campaigns created after the set time list_id: The unique id for the list folder_id: The unique folder id sort_field: Returns files sorted by the specified field sort_dir: Determines the order direction for sorted results **kwargs: Additional parameters

Returns: CampaignsListResult

EmailActivityQuery(connector: MailchimpConnector) : Query class for EmailActivity entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: EmailActivitySearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.mailchimp.models.AirbyteSearchResult[EmailActivitySearchData] : Search email_activity records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (EmailActivitySearchFilter):

action: One of the following actions: 'open', 'click', or 'bounce'
campaign_id: The unique id for the campaign.
email_address: Email address for a subscriber.
email_id: The MD5 hash of the lowercase version of the list member's email address.
ip: The IP address recorded for the action.
list_id: The unique id for the list.
list_is_active: The status of the list used, namely if it's deleted or disabled.
timestamp: The date and time recorded for the action in ISO 8601 format.
type_: If the action is a 'bounce', the type of bounce received: 'hard', 'soft'.
url: If the action is a 'click', the URL on which the member clicked.

Returns: EmailActivitySearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

list(self, campaign_id: str, count: int | None = None, offset: int | None = None, since: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[EmailActivity], EmailActivityListResultMeta] : Get a list of member's subscriber activity in a specific campaign

Args: campaign_id: The unique id for the campaign count: The number of records to return offset: Used for pagination since: Restrict results to email activity events that occur after a specific time **kwargs: Additional parameters

Returns: EmailActivityListResult

InterestCategoriesQuery(connector: MailchimpConnector) : Query class for InterestCategories entity operations.

Initialize query with connector reference.

Methods

get(self, list_id: str, interest_category_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.InterestCategory : Get information about a specific interest category

Args: list_id: The unique ID for the list interest_category_id: The unique ID for the interest category **kwargs: Additional parameters

Returns: InterestCategory

list(self, list_id: str, count: int | None = None, offset: int | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[InterestCategory], InterestCategoriesListResultMeta] : Get information about a list's interest categories

Args: list_id: The unique ID for the list count: The number of records to return offset: Used for pagination **kwargs: Additional parameters

Returns: InterestCategoriesListResult

InterestsQuery(connector: MailchimpConnector) : Query class for Interests entity operations.

Initialize query with connector reference.

Methods

get(self, list_id: str, interest_category_id: str, interest_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.Interest : Get interests or group names for a specific category

Args: list_id: The unique ID for the list interest_category_id: The unique ID for the interest category interest_id: The specific interest or group name **kwargs: Additional parameters

Returns: Interest

list(self, list_id: str, interest_category_id: str, count: int | None = None, offset: int | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[Interest], InterestsListResultMeta] : Get a list of this category's interests

Args: list_id: The unique ID for the list interest_category_id: The unique ID for the interest category count: The number of records to return offset: Used for pagination **kwargs: Additional parameters

Returns: InterestsListResult

ListMembersQuery(connector: MailchimpConnector) : Query class for ListMembers entity operations.

Initialize query with connector reference.

Methods

get(self, list_id: str, subscriber_hash: str, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.ListMember : Get information about a specific list member

Args: list_id: The unique ID for the list subscriber_hash: The MD5 hash of the lowercase version of the list member's email address **kwargs: Additional parameters

Returns: ListMember

list(self, list_id: str, count: int | None = None, offset: int | None = None, email_type: str | None = None, status: str | None = None, since_timestamp_opt: str | None = None, before_timestamp_opt: str | None = None, since_last_changed: str | None = None, before_last_changed: str | None = None, unique_email_id: str | None = None, vip_only: bool | None = None, interest_category_id: str | None = None, interest_ids: str | None = None, interest_match: str | None = None, sort_field: str | None = None, sort_dir: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[ListMember], ListMembersListResultMeta] : Get information about members in a specific Mailchimp list

Args: list_id: The unique ID for the list count: The number of records to return offset: Used for pagination email_type: The email type status: The subscriber's status since_timestamp_opt: Restrict results to subscribers who opted-in after the set timeframe before_timestamp_opt: Restrict results to subscribers who opted-in before the set timeframe since_last_changed: Restrict results to subscribers whose information changed after the set timeframe before_last_changed: Restrict results to subscribers whose information changed before the set timeframe unique_email_id: A unique identifier for the email address across all Mailchimp lists vip_only: A filter to return only the list's VIP members interest_category_id: The unique id for the interest category interest_ids: Used to filter list members by interests interest_match: Used to filter list members by interests sort_field: Returns files sorted by the specified field sort_dir: Determines the order direction for sorted results **kwargs: Additional parameters

Returns: ListMembersListResult

ListsQuery(connector: MailchimpConnector) : Query class for Lists entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: ListsSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.mailchimp.models.AirbyteSearchResult[ListsSearchData] : Search lists records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (ListsSearchFilter):

beamer_address: The list's Email Beamer address.
campaign_defaults: Default values for campaigns created for this list.
contact: Contact information displayed in campaign footers to comply with international spam laws.
date_created: The date and time that this list was created in ISO 8601 format.
double_optin: Whether or not to require the subscriber to confirm subscription via email.
email_type_option: Whether the list supports multiple formats for emails. When set to true, subscribers can choose...
has_welcome: Whether or not this list has a welcome automation connected.
id: A string that uniquely identifies this list.
list_rating: An auto-generated activity score for the list (0-5).
marketing_permissions: Whether or not the list has marketing permissions (eg. GDPR) enabled.
modules: Any list-specific modules installed for this list.
name: The name of the list.
notify_on_subscribe: The email address to send subscribe notifications to.
notify_on_unsubscribe: The email address to send unsubscribe notifications to.
permission_reminder: The permission reminder for the list.
stats: Stats for the list. Many of these are cached for at least five minutes.
subscribe_url_long: The full version of this list's subscribe form (host will vary).
subscribe_url_short: Our EepURL shortened version of this list's subscribe form.
use_archive_bar: Whether campaigns for this list use the Archive Bar in archives by default.
visibility: Whether this list is public or private.
web_id: The ID used in the Mailchimp web application. View this list in your Mailchimp account at `https:...

Returns: ListsSearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

get(self, list_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.List : Get information about a specific list in your Mailchimp account

Args: list_id: The unique ID for the list **kwargs: Additional parameters

Returns: List

list(self, count: int | None = None, offset: int | None = None, before_date_created: str | None = None, since_date_created: str | None = None, before_campaign_last_sent: str | None = None, since_campaign_last_sent: str | None = None, email: str | None = None, sort_field: str | None = None, sort_dir: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[List], ListsListResultMeta] : Get information about all lists in the account

Args: count: The number of records to return offset: Used for pagination before_date_created: Restrict response to lists created before the set date since_date_created: Restrict response to lists created after the set date before_campaign_last_sent: Restrict results to lists created before the last campaign send date since_campaign_last_sent: Restrict results to lists created after the last campaign send date email: Restrict results to lists that include a specific subscriber's email address sort_field: Returns files sorted by the specified field sort_dir: Determines the order direction for sorted results **kwargs: Additional parameters

Returns: ListsListResult

Auto-generated from OpenAPI specification with full type safety.

Initialize a new mailchimp connector instance.

Supports both local and hosted execution modes:

Local mode: Provide connector-specific auth config (e.g., MailchimpAuthConfig)
Hosted mode: Provide AirbyteAuthConfig with client credentials and either connector_id or workspace_name

Args: auth_config: Either connector-specific auth config for local mode, or AirbyteAuthConfig for hosted mode on_token_refresh: Optional callback for OAuth2 token refresh persistence. Called with new_tokens dict when tokens are refreshed. Can be sync or async. Example: lambda tokens: save_to_database(tokens) data_center: The data center for your Mailchimp account (e.g., us1, us2, us6) Examples:

Local mode (direct API calls)

connector = MailchimpConnector(auth_config=MailchimpAuthConfig(api_key="..."))

Hosted mode with explicit connector_id (no lookup needed)

connector = MailchimpConnector( auth_config=AirbyteAuthConfig( airbyte_client_id="client_abc123", airbyte_client_secret="secret_xyz789", connector_id="existing-source-uuid" ) )

Hosted mode with lookup by workspace_name

connector = MailchimpConnector( auth_config=AirbyteAuthConfig( workspace_name="user-123", organization_id="00000000-0000-0000-0000-000000000123", airbyte_client_id="client_abc123", airbyte_client_secret="secret_xyz789" ) )

Class variables

connector_name : The type of the None singleton.

connector_version : The type of the None singleton.

sdk_version : The type of the None singleton.

Static methods

create(*, airbyte_config: AirbyteAuthConfig, auth_config: "'MailchimpAuthConfig'", name: str | None = None, replication_config: dict[str, Any] | None = None, source_template_id: str | None = None) ‑> airbyte_agent_sdk.connectors.mailchimp.connector.MailchimpConnector : Create a new hosted connector on Airbyte Cloud.

This factory method:

Creates a source on Airbyte Cloud with the provided credentials
Returns a connector configured with the new connector_id

Args: airbyte_config: Airbyte hosted auth config with client credentials and workspace_name. Optionally include organization_id for multi-org request routing. auth_config: Typed auth config (same as local mode) name: Optional source name (defaults to connector name + workspace_name) replication_config: Optional replication settings dict. Required for connectors with x-airbyte-replication-config (REPLICATION mode sources). source_template_id: Source template ID. Required when organization has multiple source templates for this connector type.

Returns: A MailchimpConnector instance configured in hosted mode

Example:

Create a new hosted connector with API key auth

connector = await MailchimpConnector.create( airbyte_config=AirbyteAuthConfig( workspace_name="my-workspace", organization_id="00000000-0000-0000-0000-000000000123", airbyte_client_id="client_abc", airbyte_client_secret="secret_xyz", ), auth_config=MailchimpAuthConfig(api_key="..."), )

Use the connector

result = await connector.execute("entity", "list", {})

tool_utils(func: _F | None = None, *, update_docstring: bool = True, max_output_chars: int | None = 100000, framework: FrameworkName | None = None, internal_retries: int = 0, should_internal_retry: Callable[[Exception, tuple[Any, ...], dict[str, Any]], bool] | None = None, exhausted_runtime_failure_message: Callable[[Exception, tuple[Any, ...], dict[str, Any]], str | None] | None = None) ‑> ~_F | Callable[[~_F], ~_F] : Decorator that adds tool utilities like docstring augmentation and output limits.

Composes :func:airbyte_agent_sdk.translation.translate_exceptions for runtime wrapping (sync/async branch + output-size check + framework signal translation + optional internal retry loop), and adds connector-specific docstring augmentation on top of it.

Usage: @mcp.tool() @MailchimpConnector.tool_utils async def execute(entity: str, action: str, params: dict): ...

@mcp.tool() @MailchimpConnector.tool_utils(update_docstring=False, max_output_chars=None) async def execute(entity: str, action: str, params: dict): ...

@mcp.tool() @MailchimpConnector.tool_utils(framework="pydantic_ai", internal_retries=2) async def execute(entity: str, action: str, params: dict): ...

Args: update_docstring: When True, append connector capabilities to doc. max_output_chars: Max serialized output size before raising. Use None to disable. framework: One of "pydantic_ai" | "langchain" | "openai_agents" | "mcp". Defaults to None → auto-detect by attempting each framework's canonical import in order. Explicit always wins. internal_retries: How many transient runtime failures (429/5xx, network, timeout) to retry silently before surfacing. Default 0. Forwarded to :func:airbyte_agent_sdk.translation.translate_exceptions. should_internal_retry: Optional predicate (error, args, kwargs) -> bool further restricting which retryable errors are safe for this specific tool. Forwarded to :func:airbyte_agent_sdk.translation.translate_exceptions. exhausted_runtime_failure_message: Optional callback (error, args, kwargs) -> str | None. Invoked after internal retries are exhausted OR were skipped via should_internal_retry returning False. Forwarded to :func:airbyte_agent_sdk.translation.translate_exceptions.

Instance variables

connector_id: str | None : Get the connector/source ID (only available in hosted mode).

Returns: The connector ID if in hosted mode, None if in local mode.

Example: connector = await MailchimpConnector.create(...) print(f"Created connector: {connector.connector_id}")

Methods

check(self) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpCheckResult : Perform a health check to verify connectivity and credentials.

Executes a lightweight list operation (limit=1) to validate that the connector can communicate with the API and credentials are valid.

Returns: MailchimpCheckResult with status ("healthy" or "unhealthy") and optional error message

Example: result = await connector.check() if result.status == "healthy": print("Connection verified!") else: print(f"Check failed: {result.error}")

close(self) : Close the connector and release resources.

entity_schema(self, entity: str) ‑> dict[str, typing.Any] | None : Get the JSON schema for an entity.

Args: entity: Entity name (e.g., "contacts", "companies")

Returns: JSON schema dict describing the entity structure, or None if not found.

Example: schema = connector.entity_schema("contacts") if schema: print(f"Contact properties: {list(schema.get('properties', {}).keys())}")

execute(self, entity: str, action: "Literal['list', 'get', 'context_store_search']", params: Mapping[str, Any] | None = None) ‑> Any : Execute an entity operation with full type safety.

This is the recommended interface for blessed connectors as it:

Uses the same signature as non-blessed connectors
Provides full IDE autocomplete for entity/action/params
Makes migration from generic to blessed connectors seamless

Args: entity: Entity name (e.g., "customers") action: Operation action (e.g., "create", "get", "list") params: Operation parameters (typed based on entity+action)

Returns: Typed response based on the operation

Example: customer = await connector.execute( entity="customers", action="get", params={"id": "cus_123"} )

list_entities(self) ‑> list[dict[str, typing.Any]] : Get structured data about available entities, actions, and parameters.

Returns a list of entity descriptions with:

entity_name: Name of the entity (e.g., "contacts", "deals")
description: Entity description from the first endpoint
available_actions: List of actions (e.g., ["list", "get", "create"])
parameters: Dict mapping action -> list of parameter dicts

Example: entities = connector.list_entities() for entity in entities: print(f"{entity['entity_name']}: {entity['available_actions']}")

ReportsQuery(connector: MailchimpConnector) : Query class for Reports entity operations.

Initialize query with connector reference.

Methods

context_store_search(self, query: ReportsSearchQuery, limit: int | None = None, cursor: str | None = None, fields: list[list[str]] | None = None) ‑> airbyte_agent_sdk.connectors.mailchimp.models.AirbyteSearchResult[ReportsSearchData] : Search reports records from Airbyte cache.

This operation searches cached data from Airbyte syncs. Only available in hosted execution mode.

Available filter fields (ReportsSearchFilter):

ab_split: General stats about different groups of an A/B Split campaign. Does not return information about ...
abuse_reports: The number of abuse reports generated for this campaign.
bounces: An object describing the bounce summary for the campaign.
campaign_title: The title of the campaign.
clicks: An object describing the click activity for the campaign.
delivery_status: Updates on campaigns in the process of sending.
ecommerce: E-Commerce stats for a campaign.
emails_sent: The total number of emails sent for this campaign.
facebook_likes: An object describing campaign engagement on Facebook.
forwards: An object describing the forwards and forward activity for the campaign.
id: A string that uniquely identifies this campaign.
industry_stats: The average campaign statistics for your industry.
list_id: The unique list id.
list_is_active: The status of the list used, namely if it's deleted or disabled.
list_name: The name of the list.
list_stats: The average campaign statistics for your list. This won't be present if we haven't calculated i...
opens: An object describing the open activity for the campaign.
preview_text: The preview text for the campaign.
rss_last_send: For RSS campaigns, the date and time of the last send in ISO 8601 format.
send_time: The date and time a campaign was sent in ISO 8601 format.
share_report: The url and password for the VIP report.
subject_line: The subject line for the campaign.
timeseries: An hourly breakdown of the performance of the campaign over the first 24 hours.
timewarp: An hourly breakdown of sends, opens, and clicks if a campaign is sent using timewarp.
type_: The type of campaign (regular, plain-text, ab_split, rss, automation, variate, or auto).
unsubscribed: The total number of unsubscribed members for this campaign.

Returns: ReportsSearchResult with typed records, pagination metadata, and optional search metadata

Raises: NotImplementedError: If called in local execution mode

get(self, campaign_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.Report : Get report details for a specific sent campaign

Args: campaign_id: The unique id for the campaign **kwargs: Additional parameters

Returns: Report

list(self, count: int | None = None, offset: int | None = None, type: str | None = None, before_send_time: str | None = None, since_send_time: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[Report], ReportsListResultMeta] : Get campaign reports

Args: count: The number of records to return offset: Used for pagination type: The campaign type before_send_time: Restrict the response to campaigns sent before the set time since_send_time: Restrict the response to campaigns sent after the set time **kwargs: Additional parameters

Returns: ReportsListResult

SegmentMembersQuery(connector: MailchimpConnector) : Query class for SegmentMembers entity operations.

Initialize query with connector reference.

Methods

list(self, list_id: str, segment_id: str, count: int | None = None, offset: int | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[SegmentMember], SegmentMembersListResultMeta] : Get information about members in a saved segment

Args: list_id: The unique ID for the list segment_id: The unique id for the segment count: The number of records to return offset: Used for pagination **kwargs: Additional parameters

Returns: SegmentMembersListResult

SegmentsQuery(connector: MailchimpConnector) : Query class for Segments entity operations.

Initialize query with connector reference.

Methods

get(self, list_id: str, segment_id: str, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.Segment : Get information about a specific segment

Args: list_id: The unique ID for the list segment_id: The unique id for the segment **kwargs: Additional parameters

Returns: Segment

list(self, list_id: str, count: int | None = None, offset: int | None = None, type: str | None = None, since_created_at: str | None = None, before_created_at: str | None = None, since_updated_at: str | None = None, before_updated_at: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[Segment], SegmentsListResultMeta] : Get information about all available segments for a specific list

Args: list_id: The unique ID for the list count: The number of records to return offset: Used for pagination type: Limit results based on segment type since_created_at: Restrict results to segments created after the set time before_created_at: Restrict results to segments created before the set time since_updated_at: Restrict results to segments updated after the set time before_updated_at: Restrict results to segments updated before the set time **kwargs: Additional parameters

Returns: SegmentsListResult

TagsQuery(connector: MailchimpConnector) : Query class for Tags entity operations.

Initialize query with connector reference.

Methods

list(self, list_id: str, name: str | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[Tag], TagsListResultMeta] : Search for tags on a list by name

Args: list_id: The unique ID for the list name: The search query used to filter tags **kwargs: Additional parameters

Returns: TagsListResult

UnsubscribesQuery(connector: MailchimpConnector) : Query class for Unsubscribes entity operations.

Initialize query with connector reference.

Methods

list(self, campaign_id: str, count: int | None = None, offset: int | None = None, **kwargs) ‑> airbyte_agent_sdk.connectors.mailchimp.models.MailchimpExecuteResultWithMeta[list[Unsubscribe], UnsubscribesListResultMeta] : Get information about members who have unsubscribed from a specific campaign

Args: campaign_id: The unique id for the campaign count: The number of records to return offset: Used for pagination **kwargs: Additional parameters

Returns: UnsubscribesListResult

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Local mode (direct API calls)

Hosted mode with explicit connector_id (no lookup needed)

Hosted mode with lookup by workspace_name

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Create a new hosted connector with API key auth

Use the connector

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