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How to integrate Ambee MCP with Pydantic AI

Connect Pydantic AI to Ambee MCP. Show today's air quality for paris, get wildfire risk forecast for california, and more using natural language, with authentication handled for you.

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Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.

27 Tools

Introduction

This guide walks you through connecting Ambee to Pydantic AI using the Composio tool router. By the end, you'll have a working Ambee agent that can check air quality and pollen levels, fetch weather forecasts, track wildfires and natural disasters, and geocode places through natural language commands.

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

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

Also integrate Ambee with

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

The Ambee MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ambee account. It provides structured and secure access to environmental data, so your agent can check air quality history, monitor current weather, review pollen conditions, assess fire risk, and track natural disasters on your behalf.

  • Air quality history: Have your agent retrieve historical air quality data for any location using its latitude and longitude.
  • Weather conditions and forecasts: Let the agent check current temperature, pressure, humidity, and wind conditions, or retrieve forecasts for up to 72 hours by coordinates.
  • Pollen monitoring: Direct your agent to find current pollen conditions by place or coordinates and retrieve 48-hour pollen forecasts by place name.
  • Natural disaster tracking: Instruct your agent to retrieve recent or historical earthquake, flood, drought, and volcanic eruption data by country or coordinates.
  • Fire risk and location details: Have your agent assess forecast fire risk and Fire Weather Index conditions, or turn coordinates into a readable address, place name, and postal code.

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 Ambee
  • 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 Ambee
  • MCPServerStreamableHTTP connects to the Ambee 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 Ambee
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ambee"],
    )
    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 Ambee 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
ambee_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[ambee_mcp],
    instructions=(
        "You are a Ambee assistant. Use Ambee tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Ambee endpoint
  • The agent uses GPT-5 to interpret user commands and perform Ambee 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 Ambee.\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
  • Ambee 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 Ambee 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 Ambee
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ambee"],
    )
    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
    ambee_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[ambee_mcp],
        instructions=(
            "You are a Ambee assistant. Use Ambee 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 Ambee.\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 Ambee through Composio's Tool Router. With this setup, your agent can perform real Ambee 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 + Ambee 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 Ambee action and event your agent gets out of the box.

Geocode by Place

Tool to transform a place name or address into geographic coordinates.

Get Air Quality by City

Tool to retrieve real-time air quality data for a specific city.

Get Air Quality by Country Code

Retrieve real-time air quality readings from monitoring stations in a country using a 3-letter ISO country code.

Get Air Quality by Latitude and Longitude

Tool to retrieve real-time air quality data for a specific latitude and longitude.

Get Air Quality by Postal Code

Retrieve real-time air quality data for a specific postal code and country.

Get Air Quality Forecast by Latitude and Longitude

Tool to retrieve air quality forecast for a specific latitude and longitude.

Get Air Quality History by Latitude and Longitude

Tool to retrieve historical air quality data for a specific latitude and longitude.

Retrieve latest natural disasters by continent

Tool to retrieve latest natural disaster data for a specific continent.

Get historical natural disasters by date range

Retrieve global historical natural disaster events from a specified starting date, optionally filtering by event type and paginating results.

Get historical natural disasters by country code

Tool to retrieve historical natural disaster data for a country by ISO country code.

Get historical natural disasters by coordinates

Tool to retrieve historical natural disaster data for a specific location by coordinates with date range.

Get latest disasters by country code

Tool to retrieve latest natural disaster data for a specific country using ISO country code.

Get latest natural disasters by coordinates

Tool to retrieve latest natural disaster data (earthquakes, floods, droughts, volcanic eruptions) for a specific location using geographic coordinates.

Get Elevation by Latitude and Longitude

Tool to retrieve elevation statistics (min, max, mean) for a specific latitude and longitude.

Get Elevation by Place

Retrieve elevation statistics (minimum, maximum, and mean) for a location by place name.

Get Fire Risk by Latitude and Longitude

Retrieve weekly fire risk forecasts and Fire Weather Index data for geographic coordinates in North America, covering the next four weeks.

Get ILI Forecast by Latitude and Longitude

Retrieve an influenza-like illness (ILI) risk forecast for latitude and longitude, optionally including pollen and weather details.

Get Pollen Forecast by Place

Tool to retrieve 48-hour pollen forecast for a specific location by place name.

Get Pollen History by Place

Tool to retrieve historical pollen data for a specific place name.

Get Latest Pollen Data by Latitude and Longitude

Tool to retrieve latest pollen data for a specific geographic location using latitude and longitude coordinates.

Get Latest Pollen by Place

Tool to retrieve latest pollen data for a specific place by name.

Get Weather Forecast by Latitude and Longitude

Tool to retrieve weather forecast for a specific latitude and longitude (up to 72 hours).

Get Current Weather by Latitude and Longitude

Tool to retrieve current weather data for a specific latitude and longitude, including temperature, pressure, humidity, and wind conditions.

Get Wildfire Data by Latitude and Longitude

Retrieves real-time wildfire data for a specific geographic location using latitude and longitude coordinates.

Get Wildfire Data by Place

Retrieve recent wildfire data by place name, optionally filtering for satellite-detected or officially reported fires.

Get Wildfire Risk Forecast by Place

Retrieve weekly wildfire risk forecasts for a place in North America over the next four weeks.

Reverse Geocode by Latitude and Longitude

Tool to convert geographic coordinates into human-readable location data (address, place name, postal code).

FRAMEWORKS

How to build Ambee MCP Agent with another framework

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Claude Code

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Claude Cowork logo

Claude Cowork

Use Ambee MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

Use Ambee MCP with Claude Agent SDK

Codex logo

Codex

Use Ambee MCP with Codex

OpenClaw logo

OpenClaw

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Hermes logo

Hermes

Use Ambee MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Ambee MCP with Atomic Agent

Google ADK logo

Google ADK

Use Ambee MCP with Google ADK

LangChain logo

LangChain

Use Ambee MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Ambee MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

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LlamaIndex logo

LlamaIndex

Use Ambee MCP with LlamaIndex

CrewAI logo

CrewAI

Use Ambee MCP with CrewAI

AutoGen logo

AutoGen

Use Ambee MCP with AutoGen

FAQ

Frequently asked questions

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