How to integrate Gong MCP with Autogen

This guide walks you through connecting Gong to AutoGen using the Composio tool router. By the end, you'll have a working Gong agent that can create a new gong meeting with your team, list user activity statistics for last week, add call recording media to a specific call through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Gong account through Composio's Gong MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Gong logoGong
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Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.

57 Tools

Introduction

This guide walks you through connecting Gong to AutoGen using the Composio tool router. By the end, you'll have a working Gong agent that can create a new gong meeting with your team, list user activity statistics for last week, add call recording media to a specific call through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Gong account through Composio's Gong MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Gong with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Gong
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Gong tools
  • Run a live chat loop where you ask the agent to perform Gong operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

What is the Gong MCP server, and what's possible with it?

The Gong MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gong account. It provides structured and secure access to your meetings, calls, and team collaboration data, so your agent can schedule meetings, analyze call recordings, generate user activity reports, and manage CRM integrations—all on your behalf.

  • Automated meeting scheduling and management: Have your agent create new Gong meetings, ensuring your team and clients are always connected at the right time.
  • Call recording upload and analysis: Let your agent add call media, process call recordings, and help organize your sales conversations for later review.
  • User activity and scorecard reporting: Direct your agent to generate detailed reports on team activity, review scorecards, and aggregate user statistics for performance insights.
  • Prospect and flow management: Assign prospects to sales flows, helping automate outreach and follow-ups directly from your CRM data.
  • CRM integration and data privacy controls: Enable your agent to manage CRM integrations and surface all records related to specific phone numbers, ensuring compliance and streamlined operations.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Gong account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Gong via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Gong connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Gong session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["gong"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Gong tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Gong assistant agent with MCP tools
    agent = AssistantAgent(
        name="gong_assistant",
        description="An AI assistant that helps with Gong operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Gong tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Gong related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Gong tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Gong and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Gong session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["gong"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Gong assistant agent with MCP tools
        agent = AssistantAgent(
            name="gong_assistant",
            description="An AI assistant that helps with Gong operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Gong related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Gong through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Gong, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Gong action and event your agent gets out of the box.

Add call media

Adds a call media, recorded by a telephony system (PBX) or other media recording facility.

Add new call v2 calls

When using this endpoint, either provide a downloadMediaUrl or use the returned callId in a follow-up request to /v2/calls/{id}/media to upload the media file.

Aggregate activity by period via api

Lists the aggregated activity of multiple users within the Gong system for each time period within the defined date range.

Aggregate user activity statistics

Lists the activity of multiple users within the Gong system during a defined period.

Assign prospects to flow

Use this endpoint to assign a number of prospects to a flow.

Retrieve activity scorecards report

Retrieve all the answers for the scorecards that were reviewed during a specified date range, for calls that took place during a specified date range, for specific scorecards or for specific reviewed users.

Create a new gong meeting v2 meetings

When accessed through a Bearer token authorization method, this endpoint requires the scope 'api:meetings:user:create'.

Create permission profile v2 permission profile

Create a permission profile in a given workspace.

Data privacy for phone number

Shows the elements in the Gong system that reference the given phone number.

Delete a generic CRM integration

Deletes an existing generic CRM integration from the Gong platform.

Delete Meeting

Deletes a Gong meeting created via the Meetings API (Beta).

Delete users from call access list

Remove individual user access from calls.

Erase data for email address

Erase all data associated with an email address from Gong (GDPR compliance).

Erase data for phone number

Given a phone number, this endpoint deletes from the Gong system any leads or contacts with a matching phone number or mobile phone number.

Fetch all permission profiles

Returns a list of all permission profiles.

Get Call By ID

Tool to fetch specific call metadata by call ID.

Get Call Transcript

Tool to retrieve call transcripts from Gong.

Get Crm Integration Details

Retrieves details of generic CRM integrations registered with Gong.

Get crm objects v2 crm entities

Retrieves specific CRM objects by their IDs from Gong's CRM integration.

Get Flow Prospects

Tool to retrieve Gong Engage flows assigned to specified prospects.

Get Interaction Statistics

Tool to retrieve interaction trend statistics for users based on calls with Whisper enabled.

Get permission profile

Returns a permission profile.

Get CRM Request Status

The GetCRMRequestStatus endpoint retrieves the current status of CRM integration requests in the Gong platform.

Get User By ID

Tool to retrieve individual user details by user ID.

Get User Settings History

Tool to retrieve historical changes to a user's settings.

List all coaching metrics v2 coaching

List all of the coaching metrics of a manager.

List all company workspaces v2 workspaces

Returns a list of all workspaces including their details.

List all users v2 users

List all of the company's users.

List Call Outcomes

Tool to retrieve all available call outcomes defined in Gong.

List Flow Folders

Tool to list all Gong Engage flow folders with visibility types.

List Folder Calls

Given a folder id, this endpoint retrieves a list of calls in it.

List gong engage flows v2 flows

Engage flows have the following visibility types: * Company: visible to everyone in the company, can only be edited by users with edit permissions.

List schema fields v2 crm entity schema

Retrieves schema fields for a specific CRM object type within a Generic CRM integration.

List Scorecards

Tool to retrieve all scorecards within the Gong system.

List Tasks

Tool to retrieve Engage tasks assigned to a specific user with filtering options.

List users by filter v2 users extensive

List multiple Users.

Get user call access

Retrieves a list of users who have been granted individual access to specific calls through the API.

Post a digital interaction v2 digital interaction

When accessed through a Bearer token authorization method, this endpoint requires the scope 'api:digital-interactions:write'.

Post day by day activity stats

Retrieve the daily activity of multiple users within the Gong system for a range of dates.

Register Crm Integration

Updates an existing CRM integration in the Gong platform.

Report Content Share Event

Tool to push content share engagement events to Gong's activity timeline.

Report Content View Event

Tool to log content view engagement events to Gong's activity timeline.

Report Custom Engagement Event

Report custom engagement events to Gong's activity timeline.

Retrieve call data by date range v2 calls

List calls that took place during a specified date range.

Retrieve data privacy info for email address

Retrieves data privacy information for a third-party email address.

Retrieve filtered call details

Lists detailed call data for calls that took place during a specified date range, have specified call IDs or hosted by specified users.

Retrieve library folders v2 library folders

Use this endpoint to retrieve a list of public library folders.

Retrieve logs data by type and time range v2 logs

List log entries that took place during a specified time range.

Retrieve manual crm call associations

Returns a list of all calls that were manually associated or re-associated with CRM account and deal/opportunity since a given time.

Retrieve tracker details v2 settings trackers

Retrieves details of all keyword trackers in the system or in a given workspace.

Retrieve users from permission profile

Returns a list of all users whose access is controlled by the given permission profile.

Set User Call Access

Give individual users access to calls.

Unassign Flows By CRM ID

Tool to unassign flows from prospects by their CRM Prospect ID.

Update a gong meeting v2 meetings meetingid

When accessed through a Bearer token authorization method, this endpoint requires the scope 'api:meetings:user:update'.

Update permission profile v2 permission profile

Update a permission profile.

Upload crm objects v2 crm entities

Uploads CRM entity data to Gong via LDJSON file.

Validate Meeting Integration

Validates Gong meeting integration status for one or more users by their email addresses.

FAQ

Frequently asked questions

With a standalone Gong MCP server, the agents and LLMs can only access a fixed set of Gong tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gong and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Gong tools.

Yes, absolutely. You can configure which Gong scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Gong data and credentials are handled as safely as possible.

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