How to integrate Gong MCP with LangChain

This guide walks you through connecting Gong to LangChain 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 LangChain 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.

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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 LangChain 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 LangChain 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.

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Gong project to Composio
  • Create a Tool Router MCP session for Gong
  • Initialize an MCP client and retrieve Gong tools
  • Build a LangChain agent that can interact with Gong
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Gong functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Gong tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['gong']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Gong tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Gong tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "gong-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Gong MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Gong tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['gong']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "gong-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Gong related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Gong through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
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.

FRAMEWORKS

How to build Gong MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Gong MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Gong MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Gong MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Gong MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Gong MCP with Claude Cowork

Codex logo

Codex

Use Gong MCP with Codex

OpenClaw logo

OpenClaw

Use Gong MCP with OpenClaw

Hermes logo

Hermes

Use Gong MCP with Hermes

CLI logo

CLI

Use Gong MCP with CLI

Google ADK logo

Google ADK

Use Gong MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Gong MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Gong MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Gong MCP with LlamaIndex

CrewAI logo

CrewAI

Use Gong MCP with CrewAI

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. LangChain 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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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies