SIGN UPLOG IN
X (Twitter)LinkedInGitHubDiscordYouTube

How to integrate Clickmeeting MCP with Vercel AI SDK v6

Connect Vercel AI SDK v6 to Clickmeeting MCP. Schedule a new webinar for next week, add attendee to upcoming training session, and more using natural language, with authentication handled for you.

Get started for freeGet a demo
Clickmeeting logoClickmeeting
Api Key

ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease.

39 Tools

Introduction

This guide walks you through connecting Clickmeeting to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Clickmeeting agent that can create and update webinars, register participants, send invitations, review attendees and recordings, and generate PDF session reports through natural language commands.

This guide will help you understand how to give your Vercel AI SDK 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

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKGrok BotCodexOpenClawHermesAtomic AgentGoogle ADKLangChainMastra AILlamaIndexCrewAIPydantic AIAutoGen

TL;DR

Here's what you'll learn:
  • How to set up and configure a Vercel AI SDK agent with Clickmeeting integration
  • Using Composio's Tool Router to dynamically load and access Clickmeeting tools
  • Creating an MCP client connection using HTTP transport
  • Building an interactive CLI chat interface with conversation history management
  • Handling tool calls and results within the Vercel AI SDK framework

What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.

Key features include:

  • streamText: Core function for streaming responses with real-time tool support
  • MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
  • Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
  • OpenAI Provider: Native integration with OpenAI models

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.

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 step09 STEPS
1

Prerequisites

Before you begin, make sure you have:
  • Node.js and npm installed
  • A Composio account with API key
  • An OpenAI API key
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 required dependencies

bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv

First, install the necessary packages for your project.

What you're installing:

  • @ai-sdk/openai: Vercel AI SDK's OpenAI provider
  • @ai-sdk/mcp: MCP client for Vercel AI SDK
  • @composio/core: Composio SDK for tool integration
  • ai: Core Vercel AI SDK
  • dotenv: Environment variable management
4

Set up environment variables

bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

Create a .env file in your project root.

What's needed:

  • OPENAI_API_KEY: Your OpenAI API key for GPT model access
  • COMPOSIO_API_KEY: Your Composio API key for tool access
  • COMPOSIO_USER_ID: A unique identifier for the user session
5

Import required modules and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});
What's happening:
  • We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
  • The dotenv/config import automatically loads environment variables
  • The MCP client import enables connection to Composio's tool server
6

Create Tool Router session and initialize MCP client

typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["clickmeeting"],
  });

  const mcpUrl = 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 mcp object contains the URL and authentication headers needed to connect to the MCP server
  • This session provides access to all Clickmeeting-related tools through the MCP protocol
7

Connect to MCP server and retrieve tools

typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
What's happening:
  • We're creating an MCP client that connects to our Composio Tool Router session via HTTP
  • The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
  • The type: "http" is important - Composio requires HTTP transport
  • tools() retrieves all available Clickmeeting tools that the agent can use
8

Initialize conversation and CLI interface

typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to clickmeeting, like summarize my last 5 emails, send an email, etc... :)))\n",
);

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

rl.prompt();
What's happening:
  • We initialize an empty messages array to maintain conversation history
  • A readline interface is created to accept user input from the command line
  • Instructions are displayed to guide the user on how to interact with the agent
9

Handle user input and stream responses with real-time tool feedback

typescript
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;
  }

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

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • We use streamText instead of generateText to stream responses in real-time
  • toolChoice: "auto" allows the model to decide when to use Clickmeeting tools
  • stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
  • onStepFinish callback displays which tools are being used in real-time
  • We iterate through the text stream to create a typewriter effect as the agent responds
  • The complete response is added to conversation history to maintain context
  • Errors are caught and displayed with helpful retry suggestions

Complete Code

Here's the complete code to get you started with Clickmeeting and Vercel AI SDK:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["clickmeeting"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to clickmeeting, like summarize my last 5 emails, send an email, etc... :)))\n",
  );

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

  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;
    }

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

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

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

Conclusion

You've successfully built a Clickmeeting agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.

Key features of this implementation:

  • Real-time streaming responses for a better user experience with typewriter effect
  • Live tool execution feedback showing which tools are being used as the agent works
  • Dynamic tool loading through Composio's Tool Router with secure authentication
  • Multi-step tool execution with configurable step limits (up to 10 steps)
  • Comprehensive error handling for robust agent execution
  • Conversation history maintenance for context-aware responses

You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

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

Create Access Tokens

Tool to generate access tokens for conference participants.

Create Conference

Tool to create a new conference.

Create Contact

Create a contact in your ClickMeeting account or update an existing contact with the same email address.

Delete Conference

Tool to delete a specific conference.

Delete File

Permanently delete a file from the ClickMeeting file library.

Delete Recording

Permanently delete a specific recording from a conference room.

Delete Recordings

Tool to delete all recordings for a conference room.

Download File

Download the content of a specific file from the ClickMeeting file library.

Generate Autologin Hash

Generate an autologin hash for a conference participant.

Generate Session PDF Report

Generates a PDF report containing analytics and details for a specific conference session.

Get Chat Details

Retrieve details for a specific ClickMeeting chat session by session ID.

Get Chats

Tool to retrieve a list of all chat sessions.

Get Conference Details

Retrieve detailed information about a specific ClickMeeting conference room.

Get Conference Files

Retrieves the list of files uploaded to a specific conference room's file library.

Get Conferences

Retrieve conference rooms filtered by active or inactive status, including room URLs, access settings, schedules, and registration information.

Get Conference Sessions

Retrieves past sessions for a conference room.

Get Conference Skins

Retrieves a list of available conference room skins that can be used to customize the appearance of webinar/meeting rooms.

Get File Details

Retrieve detailed information about a specific file from the ClickMeeting file library.

Get File Library

Retrieve a list of uploaded files from the ClickMeeting file library for browsing or inventory.

Get Phone Gateways

Retrieve available phone dial-in numbers for ClickMeeting webinars.

Ping API

Tool to check API service status.

Get Registrations

Retrieve registrations for a specified conference room, with optional status and pagination parameters.

Get Session Attendees

Retrieve attendees for a specific conference room session, including available device, role, rating, and poll response details.

Get Session Details

Retrieve detailed statistics for a specific past conference session.

Get Session Poll Details

Tool to retrieve details of a specific poll conducted during a session.

Get Session Q&A History

Retrieve Q&A history for a specific session.

Get Session Recordings

Retrieve all recordings for a conference room.

Get Session Registrations

Retrieve registrations for a specific session within a conference room.

Get Session Survey Details

Retrieve details of a survey or poll conducted during a ClickMeeting conference session, using the conference, session, and survey IDs.

Get Session Surveys

Retrieve the list of surveys conducted during a specific ClickMeeting conference session.

Get Time Zone List

Retrieves all available time zones supported by ClickMeeting.

Get Time Zone List by Country

Retrieve available time zones for a specific country by ISO 3166-1 alpha-2 country code.

Get Token By Email

Tool to retrieve access tokens assigned to a specific email address for a token-protected conference room.

List Access Tokens

Tool to retrieve all generated access tokens for a token-protected conference room.

List Registrations By Status

Tool to retrieve registered participants of a conference room filtered by registration status.

Register Participant

Register a participant for a specified ClickMeeting conference room using their name and email, with optional confirmation email settings.

Send Invitation

Tool to send invitation emails to participants for a ClickMeeting conference.

Update Conference

Tool to update an existing conference room's parameters.

Upload File

Upload a file to the ClickMeeting file library.

FRAMEWORKS

How to build Clickmeeting MCP Agent with another framework

Claude Code logo

Claude Code

Use Clickmeeting MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Clickmeeting MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Clickmeeting MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Clickmeeting MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Clickmeeting MCP with Grok Bot

Codex logo

Codex

Use Clickmeeting MCP with Codex

OpenClaw logo

OpenClaw

Use Clickmeeting MCP with OpenClaw

Hermes logo

Hermes

Use Clickmeeting MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Clickmeeting MCP with Atomic Agent

Google ADK logo

Google ADK

Use Clickmeeting MCP with Google ADK

LangChain logo

LangChain

Use Clickmeeting MCP with LangChain

Mastra AI logo

Mastra AI

Use Clickmeeting MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Clickmeeting MCP with LlamaIndex

CrewAI logo

CrewAI

Use Clickmeeting MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Clickmeeting MCP with Pydantic AI

AutoGen logo

AutoGen

Use Clickmeeting MCP with AutoGen

FAQ

Frequently asked questions

Start with Clickmeeting.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Clickmeeting tool your agent needs.Free to start.

Start building