How to integrate Ascora MCP with Pydantic AI

This guide walks you through connecting Ascora to Pydantic AI using the Composio tool router. By the end, you'll have a working Ascora agent that can list all open jobs for today, create a new quotation for customer, delete a customer record by id through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Ascora account through Composio's Ascora MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.

23 Tools

Introduction

This guide walks you through connecting Ascora to Pydantic AI using the Composio tool router. By the end, you'll have a working Ascora agent that can list all open jobs for today, create a new quotation for customer, delete a customer record by id through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Ascora account through Composio's Ascora MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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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 Ascora
  • 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 Ascora 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 Ascora MCP server, and what's possible with it?

The Ascora MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ascora account. It provides structured and secure access to your field service operations, so your agent can perform actions like managing customer data, retrieving jobs, and automating quotations on your behalf.

  • Customer management and retrieval: Let your agent fetch a list of customers or access customer details to support scheduling and communications.
  • Automated quotation creation: Have your agent quickly generate new quotations for customers, streamlining your sales and service workflow.
  • Job list retrieval and filtering: Ask your agent to pull and filter job listings, making it easy to keep track of ongoing and upcoming work orders.
  • Customer record cleanup: Direct your agent to delete customer records safely after confirming their existence, helping you maintain an up-to-date database.

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 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
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 dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Ascora
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Ascora
  • MCPServerStreamableHTTP connects to the Ascora MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

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 Ascora
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ascora"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Ascora 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
ascora_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[ascora_mcp],
    instructions=(
        "You are a Ascora assistant. Use Ascora tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Ascora endpoint
  • The agent uses GPT-5 to interpret user commands and perform Ascora operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

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 Ascora.\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()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Ascora API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

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

Complete Code

Here's the complete code to get you started with Ascora and Pydantic AI:

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 Ascora
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ascora"],
    )
    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
    ascora_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[ascora_mcp],
        instructions=(
            "You are a Ascora assistant. Use Ascora 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 Ascora.\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 Ascora through Composio's Tool Router. With this setup, your agent can perform real Ascora 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 + Ascora for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

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

Create Note

Creates a note on an entity (customer, job, quote, etc.

Create or Update Contact

Tool to create a new contact or update an existing contact for a customer.

Create or Update Customer

Tool to create a new customer or update an existing customer in Ascora.

Create or Update Supplier

Tool to create a new supplier or update an existing supplier in Ascora.

Create Quotation

Creates a new quotation/enquiry in Ascora for a customer.

Delete Customer

Tool to delete a specific customer by ID.

Get Contact

Tool to retrieve details of a specific contact by their unique identifier.

Get Customer

Tool to retrieve details of a specific customer by their unique identifier.

Get Customers

Retrieves all customers from the Ascora system.

Get Inventory Categories

Retrieves all inventory categories used to organize supplies and kits in Ascora.

Get Inventory Kits

Retrieves all inventory kits from Ascora.

Get Inventory Supplies

Retrieves all inventory supplies with pricing and stock information from Ascora.

Get Job

Retrieves details of a specific job by its unique identifier.

Get Jobs

Retrieves a paginated list of jobs from Ascora with optional filtering by job type, status, secondary status, and date range.

Get Quote Labour Roles

Retrieves labour roles available for use in quotes from Ascora.

Get Quotes

Retrieves a paginated list of quotes from Ascora with optional filtering by status, date range, or customer.

Get Quote Standard Sections

Retrieves standard sections that can be used in quotes.

Get Quote Standard Stages

Retrieves standard stages that can be used in quotes for progress tracking.

Get Supplier

Tool to retrieve details of a specific supplier by ID.

Get Supplier Invoices

Retrieves supplier invoices from Ascora with optional pagination.

Get Suppliers

Retrieves a list of suppliers from the Ascora system.

Search Jobs

Search for jobs by various criteria including job number, customer, or address.

Upload Attachment

Tool to upload an attachment to an entity (quote, job, customer, etc.

FRAMEWORKS

How to build Ascora MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Ascora MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Ascora MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Ascora MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Ascora MCP with Claude Cowork

Codex logo

Codex

Use Ascora MCP with Codex

OpenClaw logo

OpenClaw

Use Ascora MCP with OpenClaw

Hermes logo

Hermes

Use Ascora MCP with Hermes

CLI logo

CLI

Use Ascora MCP with CLI

Google ADK logo

Google ADK

Use Ascora MCP with Google ADK

LangChain logo

LangChain

Use Ascora MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Ascora MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Ascora MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Ascora MCP with LlamaIndex

CrewAI logo

CrewAI

Use Ascora MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Ascora MCP server, the agents and LLMs can only access a fixed set of Ascora tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ascora and many other apps based on the task at hand, all through a single MCP endpoint.

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 Ascora tools.

Yes, absolutely. You can configure which Ascora 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.

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 Ascora data and credentials are handled as safely as possible.

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