# How to integrate Appointo MCP with Pydantic AI

```json
{
  "title": "How to integrate Appointo MCP with Pydantic AI",
  "toolkit": "Appointo",
  "toolkit_slug": "appointo",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/appointo/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/appointo/framework/pydantic-ai.md",
  "updated_at": "2026-10-04T17:21:05.952Z"
}
```

## Introduction

This guide walks you through connecting Appointo to Pydantic AI 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 Pydantic AI 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

- [Claude Code](https://composio.dev/toolkits/appointo/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/appointo/framework/claude-cowork)
- [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)
- [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)
- [Atomic Agent](https://composio.dev/toolkits/appointo/framework/atomic-agent)
- [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)
- [AutoGen](https://composio.dev/toolkits/appointo/framework/autogen)

## TL;DR

Here's what you'll learn:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Appointo
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Appointo workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## 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 provides structured and secure access to your appointments, bookings, and calendar availability, so your agent can check open times, create bookings, reschedule appointments, update booking buffers, and cancel bookings on your behalf.
- Appointment and booking lookup: Have your agent list appointments and bookings whenever you need a clear view of the schedule.
- Availability checks: Let the agent check calendar availability for a specific appointment before choosing a time.
- Booking creation: Direct your agent to create a new booking for an available appointment.
- Booking changes: Instruct your agent to reschedule an existing booking or update its buffer times when plans change.
- Booking cancellations: Have your agent cancel an entire booking or cancel it for selected customers.

## 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

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 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 the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Appointo
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Appointo
- MCPServerStreamableHTTP connects to the Appointo MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. 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
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Appointo
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["appointo"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Appointo endpoint
- The agent uses GPT-5 to interpret user commands and perform Appointo operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
appointo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[appointo_mcp],
    instructions=(
        "You are a Appointo assistant. Use Appointo tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Appointo API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Appointo.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Appointo
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["appointo"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    appointo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[appointo_mcp],
        instructions=(
            "You are a Appointo assistant. Use Appointo tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Appointo.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

## Conclusion

You've built a Pydantic AI agent that can interact with Appointo through Composio's Tool Router. With this setup, your agent can perform real Appointo actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Appointo for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build Appointo MCP Agent with another framework

- [Claude Code](https://composio.dev/toolkits/appointo/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/appointo/framework/claude-cowork)
- [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)
- [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)
- [Atomic Agent](https://composio.dev/toolkits/appointo/framework/atomic-agent)
- [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)
- [AutoGen](https://composio.dev/toolkits/appointo/framework/autogen)

## Related Toolkits

- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Apaleo](https://composio.dev/toolkits/apaleo) - Apaleo is a cloud-based property management platform for hospitality businesses. It centralizes reservations, billing, and daily operations for smoother hotel management.
- [Bart](https://composio.dev/toolkits/bart) - Bart is the Bay Area Rapid Transit system, providing fast public transportation across the San Francisco Bay Area. It helps commuters and travelers get real-time schedule info, plan routes, and stay updated on service changes.
- [Blue Pillow Hotels & Stays](https://composio.dev/toolkits/bluepillow) - Blue Pillow Hotels & Stays is a hotel and stay discovery platform offering live offers, recommendations, and booking handoff. It helps surface and compare real-time deals and validate bookings for smoother reservations.
- [Bookingmood](https://composio.dev/toolkits/bookingmood) - Bookingmood is commission-free booking software for rental businesses. It lets you manage reservations and sync bookings directly on your website.
- [Booqable](https://composio.dev/toolkits/booqable) - Booqable is a rental software platform for managing inventory, bookings, and reservations. It helps businesses streamline rentals and keep track of every item with ease.
- [Cal](https://composio.dev/toolkits/cal) - Cal is a meeting scheduling platform that offers shareable booking links and real-time calendar syncing. It streamlines the process of finding mutual availability to make scheduling effortless.
- [Calendarhero](https://composio.dev/toolkits/calendarhero) - Calendarhero is a powerful scheduling platform that streamlines your calendar management across multiple services. It helps you efficiently schedule, reschedule, and organize meetings without the back-and-forth.
- [Calendly](https://composio.dev/toolkits/calendly) - Calendly is an appointment scheduling tool that automates meeting invitations, availability checks, and reminders. It helps individuals and teams avoid endless email back-and-forth when booking meetings.
- [Calendly MCP](https://composio.dev/toolkits/calendly_mcp) - Calendly is an appointment scheduling platform that manages event types, availability, and invites. Use it to automate booking, reduce back-and-forth, and surface open times quickly.
- [Check Cherry](https://composio.dev/toolkits/check_cherry) - Check Cherry is a business management platform for photography and event service companies. It helps teams manage leads, bookings, appointments, offerings, payments, and workflows in one place.
- [Cronfree Time Scheduler](https://composio.dev/toolkits/cronfree_time_scheduler) - Cronfree Time Scheduler is an API-based scheduler for recurring webhook calls. Use it to create and remove timezone-aware schedules without running cron.
- [Etermin](https://composio.dev/toolkits/etermin) - eTermin is an online appointment scheduling platform for businesses to manage bookings. It streamlines client appointments, saving time and reducing scheduling conflicts.
- [Evenium](https://composio.dev/toolkits/evenium) - Evenium is an all-in-one platform for managing professional events, from planning to analysis. It helps teams simplify event logistics, boost engagement, and track every detail in one place.
- [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.
- [GoTable](https://composio.dev/toolkits/go_table) - GoTable is a restaurant management REST API for reservations, tables, guests, offers, availability, and webhooks. Use it to programmatically manage bookings, guest data, offers, and table availability.
- [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.
- [Ignav Flights](https://composio.dev/toolkits/ignav_flights) - Ignav Flights is a flight search API for airports, fares, itineraries, and booking links. It helps apps compare routes and prices fast, so travelers can find practical options sooner.
- [Jinko](https://composio.dev/toolkits/jinko) - Jinko is a travel API platform offering flight and hotel discovery, trip management, ancillaries, and hosted checkout. Use it to unify search, reservations, ancillaries, and hosted checkout into a single travel API.

## 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 Pydantic AI?

Yes, you can. Pydantic AI 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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