# How to integrate Ascora MCP with Pydantic AI

```json
{
  "title": "How to integrate Ascora MCP with Pydantic AI",
  "toolkit": "Ascora",
  "toolkit_slug": "ascora",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/ascora/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/ascora/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:01:59.261Z"
}
```

## 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.

## Also integrate Ascora with

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

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ASCORA_CREATE_NOTE` | Create Note | Creates a note on an entity (customer, job, quote, etc.) in Ascora. Use this when you need to add comments, updates, or documentation to any entity in the system. Requires a valid entity ID from the Ascora system. |
| `ASCORA_CREATE_OR_UPDATE_CONTACT` | Create or Update Contact | Tool to create a new contact or update an existing contact for a customer. Use when you need to add or modify contact information for a specific customer in Ascora. Requires a valid customer ID and accepts optional contact details like name, email, phone numbers, and default contact flag. |
| `ASCORA_CREATE_OR_UPDATE_CUSTOMER` | Create or Update Customer | Tool to create a new customer or update an existing customer in Ascora. Use when you need to add a new customer with company name and optional contact details, address information (street and postal), and communication preferences. If the customer already exists, their details will be updated. |
| `ASCORA_CREATE_OR_UPDATE_SUPPLIER` | Create or Update Supplier | Tool to create a new supplier or update an existing supplier in Ascora. Use when you need to add a new supplier with contact and address details, or modify an existing supplier's information by providing the supplierId. |
| `ASCORA_CREATE_QUOTATION` | Create Quotation | Creates a new quotation/enquiry in Ascora for a customer. Use this tool when you need to submit a quote request with customer details (name, email, contact info), optional address information, work description, and custom fields. Returns a unique entity ID for the created enquiry that can be used to track or reference the quotation. |
| `ASCORA_DELETE_CUSTOMER` | Delete Customer | Tool to delete a specific customer by ID. Use when you need to remove a customer after confirming its existence. |
| `ASCORA_GET_CONTACT` | Get Contact | Tool to retrieve details of a specific contact by their unique identifier. Use when you need to fetch information about a contact including their name, contact details, address, and customer association. |
| `ASCORA_GET_CUSTOMER` | Get Customer | Tool to retrieve details of a specific customer by their unique identifier. Use when you need to fetch information about a single customer including contact details, addresses, and status. |
| `ASCORA_GET_CUSTOMERS` | Get Customers | Retrieves all customers from the Ascora system. Returns a list of customer records including contact information (name, email, phone) and address details (street, city, state, postcode, country). This is a read-only operation that requires authentication via API key. Useful for syncing customer data, creating customer lists, or verifying customer information exists in the system. |
| `ASCORA_GET_INVENTORY_CATEGORIES` | Get Inventory Categories | Retrieves all inventory categories used to organize supplies and kits in Ascora. Returns a paginated list of categories with their IDs, names, and numeric identifiers. Use this when you need to list available inventory categories or reference category information for organizing inventory items. |
| `ASCORA_GET_INVENTORY_KITS` | Get Inventory Kits | Retrieves all inventory kits from Ascora. Returns a paginated list of kit items that bundle multiple supplies together. Use this when you need to list available inventory kits or access kit details for quoting, job planning, or inventory management. |
| `ASCORA_GET_INVENTORY_SUPPLIES` | Get Inventory Supplies | Retrieves all inventory supplies with pricing and stock information from Ascora. Returns a paginated list of supply items. Use this when you need to list available inventory supplies or access supply details including pricing and stock levels. |
| `ASCORA_GET_JOB` | Get Job | Retrieves details of a specific job by its unique identifier. Returns comprehensive job information including job number, name, status, customer details, dates, and other job-specific data. Use this when you need to fetch detailed information about a particular job in the Ascora system. |
| `ASCORA_GET_JOBS` | Get Jobs | Retrieves a paginated list of jobs from Ascora with optional filtering by job type, status, secondary status, and date range. Returns job details including job number, name, status, customer information, and assignment details. Use this when you need to list, search, or monitor jobs in the Ascora system. |
| `ASCORA_GET_QUOTE_LABOUR_ROLES` | Get Quote Labour Roles | Retrieves labour roles available for use in quotes from Ascora. Use this when you need to list available labour roles with their hourly rates for quotation purposes. |
| `ASCORA_GET_QUOTES` | Get Quotes | Retrieves a paginated list of quotes from Ascora with optional filtering by status, date range, or customer. Returns quote details including quote number, customer information, status, creation date, and total amount. Use this when you need to list, search, or monitor quotes in the Ascora system. |
| `ASCORA_GET_QUOTE_STANDARD_SECTIONS` | Get Quote Standard Sections | Retrieves standard sections that can be used in quotes. Returns a list of pre-configured standard sections that can be included in quotations. This is a read-only operation that requires authentication via API key. Use when you need to list available standard sections for quote generation or to verify what sections exist in the system. |
| `ASCORA_GET_QUOTE_STANDARD_STAGES` | Get Quote Standard Stages | Retrieves standard stages that can be used in quotes for progress tracking. Use this when you need to list available quote stages, display progress tracking options, or reference standard stages for quote management. Returns all configured standard stages in the Ascora system. |
| `ASCORA_GET_SUPPLIER` | Get Supplier | Tool to retrieve details of a specific supplier by ID. Use when you need to fetch supplier information including contact details, address, and business information. |
| `ASCORA_GET_SUPPLIER_INVOICES` | Get Supplier Invoices | Retrieves supplier invoices from Ascora with optional pagination. Returns invoice details including invoice number, supplier name, dates, amounts, and status. Use this when you need to list, search, or monitor supplier invoices in the Ascora system. |
| `ASCORA_GET_SUPPLIERS` | Get Suppliers | Retrieves a list of suppliers from the Ascora system. Returns supplier details including name, contact information (email, phone), address details, ABN, and activity status. Use this when you need to list or search for suppliers in the Ascora system. |
| `ASCORA_SEARCH_JOBS` | Search Jobs | Search for jobs by various criteria including job number, customer, or address. Use this when you need to find specific jobs based on identifiers or search terms rather than filtering by status or type. |
| `ASCORA_UPLOAD_ATTACHMENT` | Upload Attachment | Tool to upload an attachment to an entity (quote, job, customer, etc.) in Ascora. Use when you need to attach files like documents, images, or plans to existing entities in the system. |

## Supported Triggers

None listed.

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

The Ascora MCP server is an implementation of the Model Context Protocol that connects your AI agent to Ascora. It provides structured and secure access so your agent can perform Ascora 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 Ascora
- 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 Ascora
- MCPServerStreamableHTTP connects to the Ascora 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 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
```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")
```

### 6. Initialize the Pydantic AI Agent

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
```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."
    ),
)
```

### 7. Build the chat interface

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
```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()
```

### 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 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.

## How to build Ascora MCP Agent with another framework

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

## Related Toolkits

- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions.
- [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date.
- [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page.
- [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes.
- [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights.
- [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement.
- [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.

## Frequently Asked Questions

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

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.

### 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 Ascora tools.

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

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.

### 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 Ascora data and credentials are handled as safely as possible.

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