# How to integrate Appointo MCP with LangChain

```json
{
  "title": "How to integrate Appointo MCP with LangChain",
  "toolkit": "Appointo",
  "toolkit_slug": "appointo",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/appointo/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/appointo/framework/langchain.md",
  "updated_at": "2026-05-12T10:01:49.784Z"
}
```

## Introduction

This guide walks you through connecting Appointo to LangChain using the Composio tool router. By the end, you'll have a working Appointo agent that can list all upcoming appointments for today, reschedule a customer booking to next week, create a new appointment for a client through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Appointo account through Composio's Appointo MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Appointo with

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

## TL;DR

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

The Appointo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Appointo account. It is designed to provide structured and secure access to your Appointo appointment booking system, enabling your agent to interact with scheduling and booking operations for your Shopify store. However, at this time, no actionable tools are available for agents to perform automated tasks through the MCP server.
- Appointment management integration: Connect your AI agent to your Appointo account for potential future automation of appointment creation, rescheduling, or cancellations.
- Booking synchronization: Lay the groundwork for syncing booking data between your Shopify store and AI-driven assistants as more features become available.
- Real-time schedule access: Prepare your AI agent to fetch, review, or display booking schedules (when supported by future Appointo tools).
- Customer assistance automation: Enable your agent to support customers with inquiries about appointments, once actionable capabilities are added.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `APPOINTO_AUTHENTICATE` | Authenticate Appointo API Token | Tool to authenticate with the Appointo API by validating the APPOINTO-TOKEN header. Use when verifying the token before subsequent API calls. |
| `APPOINTO_CANCEL_BOOKING` | Cancel Booking | Tool to cancel a booking or selected customers. Use when you need to revoke an entire booking or individual attendees after verifying booking details. Use after retrieving booking information. |
| `APPOINTO_CREATE_BOOKING` | Create Booking | Tool to create a new booking. Use when scheduling a customer booking after confirming appointment availability. |
| `APPOINTO_GET_APPOINTMENT_AVAILABILITY` | Get Appointment Availability | Tool to get calendar availability for a specific appointment. Use when you need to fetch available time slots for an appointment within a date range. |
| `APPOINTO_LIST_APPOINTMENTS` | List Appointments | Tool to list appointments. Use when fetching appointments with optional filters and pagination after confirming a valid API token. |
| `APPOINTO_LIST_BOOKINGS` | List Bookings | Tool to list bookings. Use when you need to fetch bookings filtered by status, paging, or search term. |
| `APPOINTO_LIST_PRODUCTS` | List Products | Tool to fetch all available products. Use when browsing products with optional paging and search. Call after authenticating with Appointo API. |
| `APPOINTO_LIST_SUBSCRIPTION_CONTRACTS` | List Subscription Contracts | Tool to list subscription contracts. Use when retrieving contracts with optional search after confirming a valid API token. |
| `APPOINTO_RESCHEDULE_BOOKING` | Reschedule Booking | Tool to reschedule an existing booking to a new timeslot. Use after confirming new timeslot availability. |
| `APPOINTO_UPDATE_BOOKING` | Update Booking Buffers | Tool to update buffer times for an existing booking. Use after confirming new buffer durations. |
| `APPOINTO_UPSERT_APPOINTMENT_CONFIG` | Upsert Appointment Configuration | Tool to upsert availability config for an appointment. Use when setting or updating appointment availability settings. |

## Supported Triggers

None listed.

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

The Appointo MCP server is an implementation of the Model Context Protocol that connects your AI agent to Appointo. It provides structured and secure access so your agent can perform Appointo 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 Appointo 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 Appointo 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 Appointo tools as needed
```python
# Create Tool Router session for Appointo
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['appointo']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "appointo-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({
    "appointo-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 Appointo 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 Appointo 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=['appointo']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "appointo-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 Appointo 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: ['appointo']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "appointo-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 Appointo 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 Appointo 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 Appointo MCP Agent with another framework

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

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- [Eventee](https://composio.dev/toolkits/eventee) - Eventee is a user-friendly event management platform for mobile and web. It boosts attendee engagement for in-person, virtual, and hybrid events.
- [Eventzilla](https://composio.dev/toolkits/eventzilla) - Eventzilla is an event management platform for creating, promoting, and running events. It streamlines ticketing, registration, and attendee coordination for organizers.
- [Humanitix](https://composio.dev/toolkits/humanitix) - Humanitix is a not-for-profit ticketing platform that donates 100% of profits to charity. It empowers event organizers to make social impact with every ticket sold.
- [Lodgify](https://composio.dev/toolkits/lodgify) - Lodgify is an all-in-one vacation rental software for property managers and owners. It centralizes bookings, guest messaging, and channel synchronization in one dashboard.
- [Planyo Online Booking](https://composio.dev/toolkits/planyo_online_booking) - Planyo Online Booking is a flexible reservation system for managing bookings by day, hour, or event. It streamlines scheduling for any business needing reservations.
- [Scheduleonce](https://composio.dev/toolkits/scheduleonce) - Scheduleonce is a scheduling platform for capturing, qualifying, and engaging with inbound leads. It streamlines appointment booking and follow-ups for faster lead conversion.
- [Supersaas](https://composio.dev/toolkits/supersaas) - Supersaas is a flexible appointment scheduling platform for businesses and individuals. It streamlines bookings, reminders, and calendar management in one place.
- [Sympla](https://composio.dev/toolkits/sympla) - Sympla is a platform for managing in-person and online events, ticket sales, and registrations. It streamlines event setup, attendee tracking, and digital content delivery.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.

## Frequently Asked Questions

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

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

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

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)