# How to integrate Appointo MCP with Autogen

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

## Introduction

This guide walks you through connecting Appointo to AutoGen 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 AutoGen 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)
- [LangChain](https://composio.dev/toolkits/appointo/framework/langchain)
- [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
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Appointo
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Appointo tools
- Run a live chat loop where you ask the agent to perform Appointo operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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 agents and assistants directly to Appointo. Instead of manually wiring Appointo APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Appointo account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Appointo via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Appointo connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Appointo tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Appointo session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["appointo"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Appointo tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Appointo assistant agent with MCP tools
    agent = AssistantAgent(
        name="appointo_assistant",
        description="An AI assistant that helps with Appointo operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Appointo tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Appointo related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Appointo session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["appointo"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Appointo assistant agent with MCP tools
        agent = AssistantAgent(
            name="appointo_assistant",
            description="An AI assistant that helps with Appointo operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

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

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

## Conclusion

You now have an Autogen assistant wired into Appointo through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Appointo, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## 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)
- [LangChain](https://composio.dev/toolkits/appointo/framework/langchain)
- [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)

## Related Toolkits

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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.
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- [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 Autogen?

Yes, you can. Autogen 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.

---
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