Gong

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

Gong is a revenue intelligence platform that captures and analyzes customer interactions across calls, emails, and web conferences. This connector provides access to users, recorded calls with transcripts, activity statistics, scorecards, trackers, workspaces, coaching metrics, and library content for sales performance analysis and revenue insights.

Example questions

The Gong connector is optimized to handle prompts like these.

• List all users in my Gong account
• Show me calls from last week
• Get the transcript for a recent call
• List all workspaces in Gong
• Show me the scorecard configurations
• What trackers are set up in my account?
• Get coaching metrics for a manager
• What are the activity stats for our sales team?
• Find calls mentioning {keyword} this month
• Show me calls for rep {user_id} in the last 30 days
• Which calls had the longest duration last week?

Unsupported questions

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

• Create a new user in Gong
• Delete a call recording
• Update scorecard questions
• Schedule a new meeting
• Send feedback to a team member
• Modify tracker keywords

Installation

uv pip install airbyte-agent-gong

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_gong import GongConnector
from airbyte_agent_gong.models import GongAccessKeyAuthenticationAuthConfig

connector = GongConnector(
    auth_config=GongAccessKeyAuthenticationAuthConfig(
        access_key="<Your Gong API Access Key>",
        access_key_secret="<Your Gong API Access Key Secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@GongConnector.tool_utils
async def gong_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_gong import GongConnector, AirbyteAuthConfig

connector = GongConnector(
    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
@GongConnector.tool_utils
async def gong_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
Users	List, Get, Search
Calls	List, Get, Search
Calls Extensive	List, Search
Call Audio	Download
Call Video	Download
Workspaces	List
Call Transcripts	List
Stats Activity Aggregate	List
Stats Activity Day By Day	List
Stats Interaction	List
Settings Scorecards	List, Search
Settings Trackers	List
Library Folders	List
Library Folder Content	List
Coaching	List
Stats Activity Scorecards	List, Search

Authentication

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

Gong API docs

See the official Gong API reference.

Version information

• Package version: 0.19.109
• Connector version: 0.1.18
• Generated with Connector SDK commit SHA: 8c602f77c94fa829be7c1e10d063c5234b17dbef
• Changelog: View changelog