How to integrate Aircall MCP with Mastra AI

This guide walks you through connecting Aircall to Mastra AI using the Composio tool router. By the end, you'll have a working Aircall agent that can manage calls, search contacts, update teams, organize phone numbers, and apply tags through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Aircall account through Composio's Aircall MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Aircall is a cloud-based phone and call-center platform for business communications. It centralizes calls, contacts, teams, numbers, and tags in one place.

48 Tools

Introduction

This guide walks you through connecting Aircall to Mastra AI using the Composio tool router. By the end, you'll have a working Aircall agent that can manage calls, search contacts, update teams, organize phone numbers, and apply tags through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Aircall account through Composio's Aircall 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:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Aircall tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Aircall 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 Aircall 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 Aircall MCP server, and what's possible with it?

The Aircall MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Aircall account. It provides structured and secure access to your Aircall calls, users, teams, phone numbers, contacts, tags, and webhooks, so your agent can place calls, search call activity, manage contacts and teams, check user availability, and control call features on your behalf.

  • Call handling and insight: Have your agent place outbound calls, find calls by direction, user, phone number, tags, or date, add comments, manage recording during ongoing calls, delete call audio, and publish insight cards for call agents.
  • Contact management: Let the agent search, create, view, and delete shared contacts, then add or remove their phone numbers and email addresses.
  • User and team administration: Direct your agent to list, create, view, and delete users, create or remove teams, change team membership, and check user availability.
  • Phone numbers and tags: Instruct your agent to list and inspect Aircall phone numbers, check registration status, and create, view, list, or delete call tags.
  • Webhook management: Have your agent create, list, inspect, or delete Aircall webhooks for connected HTTPS destinations.

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 Aircall 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 Aircall

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

  const composioMCPUrl = session.mcp.url;
  console.log("Aircall MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "aircall" for Aircall 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 Aircall toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "aircall-mastra-agent",
    instructions: "You are an AI agent with Aircall 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: {
        aircall: 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 Aircall 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 Aircall 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: ["aircall"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "aircall-mastra-agent",
    instructions: "You are an AI agent with Aircall 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: { aircall: 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 Aircall 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 Aircall action and event your agent gets out of the box.

Add Contact Method

Add a phone number or an email address to an existing Aircall contact.

Add User to Team

Add a User to a Team (membership change).

Add Comment to Call

Add a comment/note to a Call (max 5 comments per call; emojis are stripped).

Create Contact

Create a shared Aircall contact.

Create Tag

Create a Tag.

Create Team

Create a new Team.

Create User

Create an Aircall user and send them a real invitation email, consuming a licensed seat.

Create Webhook

Create an Aircall webhook targeting a public HTTPS URL.

Delete Call Media

Request permanent deletion of a Call's audio recording or voicemail, for compliance or data governance.

Delete Contact

Permanently delete a shared Contact and all of its phone numbers and email addresses.

Delete Contact Method

Permanently remove one phone number or email address from an Aircall contact.

Delete Tag

Delete a Tag by id.

Delete Team

Delete a Team by id.

Delete User

Permanently delete a User.

Delete Webhook

Permanently delete an Aircall webhook.

Get Call

Retrieve a single Call by id, with optional contact / short-url / timeline enrichment via the fetch_* flags.

Get Company

Retrieve information about the connected Aircall company (name, users_count, numbers_count).

Get Contact

Retrieve a single shared Contact by id, with its nested phone_numbers[] and emails[].

Get Number

Retrieve a single Aircall phone Number by its numeric id.

Get Number Registration Status

Check whether an Aircall phone number is registered for compliance (10DLC or other regulatory registration) by reading the `status` field.

Get Tag

Retrieve a single Tag by id.

Get Team

Retrieve a single Team by id, including its member users.

Get User

Retrieve one Aircall user by numeric id or by email address.

Get User Availability

Check the current availability of one User.

Get Webhook

Retrieve one Aircall webhook by its UUID or legacy numeric id.

List Calls

List the account's calls in chronological order, covering about 6 months of history and at most 10,000 items via pagination.

List Contacts

List all shared Contacts (hard-capped at 10,000 items via pagination — window past with the `from` timestamp).

List Numbers

List all Aircall phone Numbers in the account.

List Tags

List all Tags in the account.

List Teams

List all Teams in the account.

List User Numbers (V2)

List all Aircall Numbers assigned to a specific User (V2, paginated).

List Users

List the users in the Aircall account, one page at a time with a next_cursor to continue.

List Users Availability

List the detailed availability of all Users (whether each user is available/offline/on a call, etc.

List Webhooks

List webhook subscriptions accessible to the connected Aircall company.

Publish Call Insight Card

Display contextual title, short text, links, or Aircall user details to the agent handling an ongoing call.

Remove User from Team

Remove a User from a Team (membership change).

Search Calls

Find calls matching any combination of direction (inbound or outbound), user_id, phone_number and tag ids, optionally narrowed to a from/to date window.

Search Contacts

Search shared Contacts by phone_number and/or email (optionally within a from/to date window).

Set Call Recording State

Pause or resume recording on an ongoing Aircall call.

Start Outbound Call

Place a real, billable outbound phone call from an Aircall user's desktop Workspace to an external number.

Tag Call

Tag a Call with one or more existing Tag ids (create tags first with AIRCALL_CREATE_TAG).

Transfer Call

Cold-transfer a call that is live right now to one user, one team, or one external phone number.

Update Contact

Update a Contact's core fields (first_name, last_name, company_name, information).

Update Contact Method

Update one phone number or email address that is already on an Aircall contact.

Update Number

Update at least one mutable Number field: name changes its display name; availability_status changes the first Time Rule widget and can open or close call routing; live_recording_activated enables or disables inbound and outbound recording, and audio missed while disabled cannot be recovered; priority changes routing priority; messages replaces or clears supplied Music & Messages audio slots heard by live callers.

Update Tag

Update a Tag (PUT, full replace).

Update User

Update an existing Aircall user's name, availability_status, substatus, roles or wrap-up time in place.

Update Webhook

Update an Aircall webhook's URL, name, active state, or event subscriptions.

FRAMEWORKS

How to build Aircall MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Aircall MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Aircall MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Aircall MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Aircall MCP with Claude Cowork

Codex logo

Codex

Use Aircall MCP with Codex

OpenClaw logo

OpenClaw

Use Aircall MCP with OpenClaw

Hermes logo

Hermes

Use Aircall MCP with Hermes

CLI logo

CLI

Use Aircall MCP with CLI

Google ADK logo

Google ADK

Use Aircall MCP with Google ADK

LangChain logo

LangChain

Use Aircall MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Aircall MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Aircall MCP with LlamaIndex

CrewAI logo

CrewAI

Use Aircall MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Aircall MCP server, the agents and LLMs can only access a fixed set of Aircall tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Aircall 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 Aircall tools.

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

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