Intercom

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

Intercom is a customer messaging platform that enables businesses to communicate with customers through chat, email, and in-app messaging. This connector provides access to core Intercom entities including contacts, conversations, companies, teams, admins, tags, and segments for customer support analytics and insights. It also supports creating and updating contacts, creating notes, creating internal articles, creating and updating companies, and creating tags.

Example questions

The Intercom connector is optimized to handle prompts like these.

List all contacts in my Intercom workspace
List all companies in Intercom
What teams are configured in my workspace?
Show me all admins in my Intercom account
List all tags used in Intercom
Show me all customer segments
Show me details for a recent contact
Show me details for a recent company
Show me details for a recent conversation
Create a new lead contact named 'Jane Smith' with email jane@example.com
Create an internal article titled 'Onboarding Guide' with instructions for new team members
Create a company named 'Acme Corp' with company_id 'acme-001'
Create a tag named 'VIP Customer'
Update the name of contact {id} to 'John Updated'
Add a note to contact {id} saying 'Followed up on support request'
Show me conversations from the last week
List conversations assigned to team {team_id}
Show me open conversations

Unsupported questions

The Intercom connector isn't currently able to handle prompts like these.

Send a message to a customer
Delete a conversation
Delete a contact
Delete a company
Assign a conversation to an admin

Installation

uv pip install airbyte-agent-intercom

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_intercom import IntercomConnector
from airbyte_agent_intercom.models import IntercomAuthConfig

connector = IntercomConnector(
    auth_config=IntercomAuthConfig(
        access_token="<Your Intercom API Access Token>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@IntercomConnector.tool_utils
async def intercom_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_intercom import IntercomConnector, AirbyteAuthConfig

connector = IntercomConnector(
    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
@IntercomConnector.tool_utils
async def intercom_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
Contacts	List, Create, Get, Update, Context Store Search
Conversations	List, Get, Context Store Search
Companies	List, Create, Get, Update, Context Store Search
Teams	List, Get, Context Store Search
Admins	List, Get
Tags	List, Create, Get
Notes	Create
Segments	List, Get
Internal Articles	Create

Authentication

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

Intercom API docs

See the official Intercom API reference.

Version information

Package version: 0.1.100
Connector version: 0.1.10
Generated with Connector SDK commit SHA: c5258debd165ab701252c1436d4acfb475bf92b9
Changelog: View changelog

Release files for airbyte-agent-intercom 0.1.100

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-intercom 0.1.100
File	Size	Uploaded
airbyte_agent_intercom-0.1.100.tar.gz	183.8 kB	Apr 9, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for airbyte-agent-intercom 0.1.100
File	Interpreter	ABI	Platform	Reset
airbyte_agent_intercom-0.1.100-py3-none-any.whl 207.5 kB Apr 9, 2026	Python 3	none	any	Details

Total release size: 391.3 kB

Release files / airbyte_agent_intercom-0.1.100.tar.gz

Download URL	airbyte_agent_intercom-0.1.100.tar.gz
Size	183.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`386c753fd90b0edb3b1427a1f9aaed63a18f282aaa0cd1cbb90aa970ccdbcbcc`
BLAKE2b-256 checksum How to use checksums	`306a752d51ab92003032695a04e113976cd52de5aa3131d522763ca9b6c08640`
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_intercom-0.1.100-py3-none-any.whl

Download URL	airbyte_agent_intercom-0.1.100-py3-none-any.whl
Size	207.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`66d4fa0ed3251e73c2c2515f55be624d4c21d1529e1bc6b12d37e4e8cb5bdae4`
BLAKE2b-256 checksum How to use checksums	`cba57dd00f2e954eb8c96b2fc4c30aaca1b92efbf7beaaca1df91df64b717dbf`
Upload date	Apr 9, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`