How to integrate Clickmeeting MCP with LangChain

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Introduction

This guide walks you through connecting Clickmeeting to LangChain using the Composio tool router. By the end, you'll have a working Clickmeeting agent that can schedule a new webinar for next week, add attendee to upcoming training session, generate pdf report for yesterday's session through natural language commands.

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

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

Also integrate Clickmeeting with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Clickmeeting project to Composio
  • Create a Tool Router MCP session for Clickmeeting
  • Initialize an MCP client and retrieve Clickmeeting tools
  • Build a LangChain agent that can interact with Clickmeeting
  • 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 Clickmeeting MCP server, and what's possible with it?

The Clickmeeting MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Clickmeeting account. It provides structured and secure access to your webinars and meetings, so your agent can perform actions like scheduling conferences, managing contacts, generating reports, handling recordings, and more—all on your behalf.

  • Automated conference creation and scheduling: Seamlessly instruct your agent to create new meetings or webinars, helping you organize virtual events in seconds.
  • Contact management and attendee registration: Have your agent add or pre-register participants as contacts before scheduling or starting events, ensuring a smooth entry process.
  • Recording management and cleanup: Direct your agent to delete specific recordings or clear all session recordings for a conference room, keeping your account tidy and compliant.
  • Instant session analytics and reporting: Ask your agent to generate detailed PDF reports for any session, so you can quickly access valuable insights and analytics.
  • Easy access and participation links: Let your agent generate autologin URLs for participants, allowing direct, hassle-free entry to your meetings without manual logins.

Supported Tools & Triggers

Tools
Create Access TokensTool to generate access tokens for conference participants.
Create ConferenceTool to create a new conference.
Create ContactTool to create a new contact in your ClickMeeting account.
Delete ConferenceTool to delete a specific conference.
Delete FilePermanently delete a file from the ClickMeeting file library.
Delete RecordingPermanently delete a specific recording from a conference room.
Delete RecordingsTool to delete all recordings for a conference room.
Download FileDownload the content of a specific file from the ClickMeeting file library.
Generate Autologin HashGenerate an autologin hash for a conference participant.
Generate Session PDF ReportGenerates a PDF report containing analytics and details for a specific conference session.
Get Chat DetailsTool to retrieve details of a specific chat session.
Get ChatsTool to retrieve a list of all chat sessions.
Get Conference DetailsRetrieve detailed information about a specific ClickMeeting conference room.
Get Conference FilesRetrieves the list of files uploaded to a specific conference room's file library.
Get ConferencesRetrieve a list of conference rooms from your ClickMeeting account filtered by status.
Get Conference SessionsRetrieves past sessions for a conference room.
Get Conference SkinsRetrieves a list of available conference room skins that can be used to customize the appearance of webinar/meeting rooms.
Get File DetailsRetrieve detailed information about a specific file from the ClickMeeting file library.
Get File LibraryRetrieve a list of files from the ClickMeeting file library.
Get Phone GatewaysRetrieve available phone dial-in numbers for ClickMeeting webinars.
Ping APITool to check API service status.
Get RegistrationsTool to retrieve registrations for a conference room by status.
Get Session AttendeesRetrieves the list of attendees who participated in a specific session of a conference room.
Get Session DetailsRetrieve detailed statistics for a specific past conference session.
Get Session Poll DetailsTool to retrieve details of a specific poll conducted during a session.
Get Session Q&A HistoryTool to retrieve the Q&A history for a specific session.
Get Session RecordingsRetrieve all recordings for a conference room.
Get Session RegistrationsRetrieve registrations for a specific session within a conference room.
Get Session Survey DetailsTool to retrieve details of a specific survey/poll conducted during a session.
Get Session SurveysRetrieves the list of surveys conducted during a specific conference session.
Get Time Zone ListRetrieves all available time zones supported by ClickMeeting.
Get Time Zone List by CountryRetrieve available time zones for a specific country by ISO 3166-1 alpha-2 country code.
Get Token By EmailTool to retrieve access tokens assigned to a specific email address for a token-protected conference room.
List Access TokensTool to retrieve all generated access tokens for a token-protected conference room.
List Registrations By StatusTool to retrieve registered participants of a conference room filtered by registration status.
Register ParticipantTool to register a participant for a conference room.
Send InvitationTool to send invitation emails to participants for a ClickMeeting conference.
Update ConferenceTool to update an existing conference room's parameters.
Upload FileUpload a file to the ClickMeeting file library.

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

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

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.

Install dependencies

pip install composio-langchain langchain-mcp-adapters langchain python-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 is the core agent framework
  • python-dotenv loads environment variables

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

Import dependencies

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

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

Initialize Composio client

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
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 Clickmeeting tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

# Create Tool Router session for Clickmeeting
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['clickmeeting']
)

url = session.mcp.url
What's happening:
  • We're creating a Tool Router session that gives your agent access to Clickmeeting 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 Clickmeeting tools as needed

Configure the agent with the MCP URL

client = MultiServerMCPClient({
    "clickmeeting-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

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

Set up interactive chat interface

conversation_history = []

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

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

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

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
What's happening:
  • We initialize an empty conversation_history list to maintain context across interactions
  • A while loop continuously accepts 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 ainvoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • We call the main() function using asyncio.run() to start the application

Complete Code

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

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['clickmeeting']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "clickmeeting-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Clickmeeting related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

Conclusion

You've successfully built a LangChain agent that can interact with Clickmeeting 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.

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FAQ

What are the differences in Tool Router MCP and Clickmeeting MCP?

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

Can I use Tool Router MCP with LangChain?

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 Clickmeeting tools.

Can I manage the permissions and scopes for Clickmeeting while using Tool Router?

Yes, absolutely. You can configure which Clickmeeting 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.

How safe is my data with Composio Tool Router?

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 Clickmeeting data and credentials are handled as safely as possible.

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