How to integrate Ambee MCP with Mastra AI

This guide walks you through connecting Ambee to Mastra AI using the Composio tool router. By the end, you'll have a working Ambee agent that can show today's air quality for paris, get wildfire risk forecast for california, retrieve pollen count by your zip code through natural language commands. This guide will help you understand how to give your Mastra 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.

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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 Mastra AI using the Composio tool router. By the end, you'll have a working Ambee agent that can show today's air quality for paris, get wildfire risk forecast for california, retrieve pollen count by your zip code through natural language commands.

This guide will help you understand how to give your Mastra 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

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Ambee tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Ambee tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Ambee agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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 hyperlocal environmental data, so your agent can perform actions like retrieving real-time air quality, fetching pollen and weather updates, forecasting wildfire risk, and monitoring natural disasters on your behalf.

  • Hyperlocal air quality monitoring: Instantly get real-time air quality data for any city, postal code, or precise geographic coordinates to stay informed about pollution and AQI levels in your area.
  • Air quality forecasting: Ask your agent to predict air quality trends up to 48 hours in advance for specific locations, helping you plan outdoor activities with health in mind.
  • Wildfire risk assessment: Access weekly wildfire risk forecasts for targeted places, so you can stay aware of environmental hazards before they happen.
  • Disaster and incident tracking: Retrieve the latest natural disaster data by continent, keeping you updated about major environmental events worldwide.
  • Geocoding and location resolution: Effortlessly transform city names or addresses into latitude and longitude coordinates, making location-based queries accurate and seamless for your agent.

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Ambee through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Ambee

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["ambee"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Ambee MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "ambee" for Ambee access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Ambee toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "ambee-mastra-agent",
    instructions: "You are an AI agent with Ambee tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        ambee: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Ambee toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Ambee and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["ambee"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      ambee: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "ambee-mastra-agent",
    instructions: "You are an AI agent with Ambee tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { ambee: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Ambee through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
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

Tool to retrieve real-time air quality data for a specific country using a 3-letter ISO 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

Tool to retrieve global historical natural disaster data with date range filtering.

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

Tool to retrieve fire risk forecast and Fire Weather Index (FWI) data for specific geographic coordinates.

Get ILI Forecast by Latitude and Longitude

Tool to retrieve up to 28-day forecast of Influenza-like Illness (ILI) risk using latitude and longitude.

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

Retrieves real-time wildfire data for a specific location by place name.

Get Wildfire Risk Forecast by Place

Tool to retrieve wildfire risk forecast for a specific place.

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

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Ambee MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Ambee MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Ambee MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Ambee MCP with Claude Cowork

Codex logo

Codex

Use Ambee MCP with Codex

OpenClaw logo

OpenClaw

Use Ambee MCP with OpenClaw

Hermes logo

Hermes

Use Ambee MCP with Hermes

CLI logo

CLI

Use Ambee MCP with CLI

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

LlamaIndex logo

LlamaIndex

Use Ambee MCP with LlamaIndex

CrewAI logo

CrewAI

Use Ambee MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Mastra 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 Ambee tools.

Yes, absolutely. You can configure which Ambee 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 Ambee data and credentials are handled as safely as possible.

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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Co-Founder, Ingram Technologies