Facebook-Marketing

The Facebook-Marketing agent connector is a Python package that equips AI agents to interact with Facebook-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.

Facebook Marketing API connector for managing ad campaigns, ad sets, ads, creatives, and accessing performance insights, pixel configuration, and event quality data. This connector provides read access to Facebook Ads Manager data for analytics and reporting purposes.

Example questions

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

List all active campaigns in my ad account
What ads are currently running in a recent campaign?
List all ad creatives in my account
What is the status of my campaigns?
List all custom conversion events in my account
Show me all ad images in my account
What videos are available in my ad account?
Create a new campaign called 'Summer Sale 2026' with traffic objective
Pause my most recent campaign
Create a new ad set with a $50 daily budget in my latest campaign
Update the daily budget of my top performing ad set to $100
Rename my most recent ad set to 'Holiday Promo'
Create a new ad in my latest ad set
Pause all ads in my most recent ad set
List all pixels in my ad account
Show me the event stats for my pixel
What events is my Facebook pixel tracking?
Search the Ad Library for political ads in the US
Find ads about climate change in the Ad Library
Show me Ad Library ads from a specific Facebook page
Show me the ad sets with the highest daily budget
Show me the performance insights for the last 7 days
Which campaigns have the most spend this month?
Show me ads with the highest click-through rate

Unsupported questions

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

Delete this ad creative
Delete this campaign
Delete this ad set
Delete this ad

Installation

uv pip install airbyte-agent-facebook-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_facebook_marketing import FacebookMarketingConnector
from airbyte_agent_facebook_marketing.models import FacebookMarketingServiceAccountKeyAuthenticationAuthConfig

connector = FacebookMarketingConnector(
    auth_config=FacebookMarketingServiceAccountKeyAuthenticationAuthConfig(
        account_key="<Facebook long-lived access token for Service Account authentication>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@FacebookMarketingConnector.tool_utils
async def facebook_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. 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_facebook_marketing import FacebookMarketingConnector, AirbyteAuthConfig

connector = FacebookMarketingConnector(
    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
@FacebookMarketingConnector.tool_utils
async def facebook_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
Current User	Get
Ad Accounts	List, Context Store Search
Campaigns	List, Create, Get, Update, Context Store Search
Ad Sets	List, Create, Get, Update, Context Store Search
Ads	List, Create, Get, Update, Context Store Search
Ad Creatives	List, Context Store Search
Ads Insights	List, Context Store Search
Ad Account	Get, Context Store Search
Custom Conversions	List, Context Store Search
Images	List, Context Store Search
Videos	List, Context Store Search
Pixels	List, Get
Pixel Stats	List
Ad Library	List

Authentication

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

Facebook-Marketing API docs

See the official Facebook-Marketing API reference.

Version information

Package version: 0.1.71
Connector version: 1.0.24
Generated with Connector SDK commit SHA: c5258debd165ab701252c1436d4acfb475bf92b9
Changelog: View changelog

Metadata

Release files for airbyte-agent-facebook-marketing 0.1.71

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-facebook-marketing 0.1.71
File	Size	Uploaded
airbyte_agent_facebook_marketing-0.1.71.tar.gz	194.5 kB	Apr 9, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for airbyte-agent-facebook-marketing 0.1.71
File	Interpreter	ABI	Platform	Reset
airbyte_agent_facebook_marketing-0.1.71-py3-none-any.whl 216.1 kB Apr 9, 2026	Python 3	none	any	Details

Total release size: 410.6 kB

Release files / airbyte_agent_facebook_marketing-0.1.71.tar.gz

Download URL	airbyte_agent_facebook_marketing-0.1.71.tar.gz
Size	194.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`8feedf8e623b280c926e04826fc6235a06e85225f51964b3adcea0fbebe525d1`
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Upload date	Apr 9, 2026
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Uploaded via	`twine/6.2.0 CPython/3.13.12`

Release files / airbyte_agent_facebook_marketing-0.1.71-py3-none-any.whl

Download URL	airbyte_agent_facebook_marketing-0.1.71-py3-none-any.whl
Size	216.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`dcc78f2354ac2c3f235ef87f5d631decd63f2f5dfca0ff2cee354d37c57e4247`
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Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`