# How to integrate Demio MCP with LangChain

```json
{
  "title": "How to integrate Demio MCP with LangChain",
  "toolkit": "Demio",
  "toolkit_slug": "demio",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/demio/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/demio/framework/langchain.md",
  "updated_at": "2026-05-12T10:08:30.426Z"
}
```

## Introduction

This guide walks you through connecting Demio to LangChain using the Composio tool router. By the end, you'll have a working Demio agent that can schedule a new webinar for next week, get a list of all upcoming sessions, add a registrant to your latest webinar through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Demio account through Composio's Demio MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Demio with

- [OpenAI Agents SDK](https://composio.dev/toolkits/demio/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/demio/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/demio/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/demio/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/demio/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/demio/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/demio/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/demio/framework/cli)
- [Google ADK](https://composio.dev/toolkits/demio/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/demio/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/demio/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/demio/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/demio/framework/crew-ai)

## TL;DR

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

The Demio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Demio account. It provides structured and secure access to your webinar platform, so your agent can perform actions like scheduling webinars, managing attendees, launching polls, tracking engagement, and analyzing event performance on your behalf.
- Seamless webinar scheduling and management: Let your agent create, update, or cancel live and automated webinars with customized settings for your marketing needs.
- Attendee registration and tracking: Automatically register participants, manage RSVPs, and track attendance before, during, and after your events.
- Real-time engagement tools: Launch polls, share resources, and activate interactive features during webinars to boost audience participation and collect instant feedback.
- Post-event analytics and reporting: Fetch detailed session analytics, including engagement scores, poll responses, and attendee behavior to optimize your future webinars.
- Lead generation optimization: Export attendee data, segment leads, and trigger follow-up actions to maximize the value of every webinar you run.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DEMIO_CREATE_JOIN_LINK` | Demio Create Join Link | Tool to register an attendee and obtain their unique Demio join link. Use after confirming a valid event_id. |
| `DEMIO_GET_EVENT` | Demio: Get Event by ID | Tool to retrieve event details by ID. Use when you need the full metadata for a specific Demio event. |
| `DEMIO_LIST_EVENT_DATE_PARTICIPANTS` | List Event Date Participants | Tool to list participants for a specific event date. Use after scheduling an event session to retrieve attendees. |
| `DEMIO_LIST_EVENT_DATES` | List Event Dates | Tool to list all scheduled session dates for a given Demio event. Use when you need the session schedule by event ID. |
| `DEMIO_LIST_EVENTS` | List Demio Events | Tool to retrieve a list of Demio events. Use when you need to fetch events optionally filtered by type or paginated. |
| `DEMIO_PING` | Demio API Ping | Tool to perform a health check on the Demio API. Use to verify the API is reachable before other calls. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Demio MCP server is an implementation of the Model Context Protocol that connects your AI agent to Demio. It provides structured and secure access so your agent can perform Demio operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

No description provided.

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

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

### 3. Set up environment variables

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
```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
```

### 4. Import dependencies

No description provided.
```python
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()
```

```typescript
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();
```

### 5. Initialize Composio client

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 Demio tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
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")
```

```typescript
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()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Demio 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 Demio tools as needed
```python
# Create Tool Router session for Demio
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['demio']
)

url = session.mcp.url
```

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

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "demio-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)
```

```typescript
const client = new MultiServerMCPClient({
    "demio-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 });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Demio 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")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Demio 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);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
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=['demio']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "demio-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 Demio 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())
```

```typescript
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: ['demio']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "demio-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 Demio 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 Demio 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.

## How to build Demio MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/demio/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/demio/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/demio/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/demio/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/demio/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/demio/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/demio/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/demio/framework/cli)
- [Google ADK](https://composio.dev/toolkits/demio/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/demio/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/demio/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/demio/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/demio/framework/crew-ai)

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- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
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- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Doppler marketing automation](https://composio.dev/toolkits/doppler_marketing_automation) - Doppler marketing automation is a platform for creating, sending, and tracking email campaigns. It helps you automate marketing workflows and manage subscriber lists for better engagement.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Demio MCP?

With a standalone Demio MCP server, the agents and LLMs can only access a fixed set of Demio tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Demio 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 Demio tools.

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

Yes, absolutely. You can configure which Demio 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 Demio data and credentials are handled as safely as possible.

---
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