How to integrate Blooio MCP with Mastra AI

This guide walks you through connecting Blooio to Mastra AI using the Composio tool router. By the end, you'll have a working Blooio agent that can review your chats, create contacts, tag contacts, manage groups, and check poll results through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Blooio account through Composio's Blooio MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Blooio logoBlooio
Api Key

Blooio is a stable v2 API platform for messaging, chats, contacts, groups, phone numbers, and account analytics. It gives teams a clean way to build reliable communication workflows without stitching together fragile custom APIs.

26 Tools

Introduction

This guide walks you through connecting Blooio to Mastra AI using the Composio tool router. By the end, you'll have a working Blooio agent that can review your chats, create contacts, tag contacts, manage groups, and check poll results through natural language commands.

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

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

Also integrate Blooio with

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 Blooio tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Blooio 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 Blooio 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 Blooio MCP server, and what's possible with it?

The Blooio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Blooio account. It provides structured and secure access to your messages, chats, contacts, groups, phone numbers, and account insights, so your agent can send messages, manage conversations, organize contacts, coordinate groups, and review account activity on your behalf.

  • Messaging and interactive polls: Have your agent send text, attachments, replies, or native iMessage polls, check delivery details, and review poll results.
  • Chat and reaction management: Let the agent find conversations, review message history, mark chats as read, and add or remove reactions from messages.
  • Contact organization: Direct your agent to create, find, update, or delete contacts, manage their tags, and check whether they can receive iMessage, SMS, or FaceTime.
  • Messaging group coordination: Instruct your agent to create, find, rename, or delete messaging groups and review their members.
  • Account and sender oversight: Have your agent review your organization, assigned devices, message usage, available sender numbers, and fleet risk summary.

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 Blooio 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 Blooio

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

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

Create the Mastra agent

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

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

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

Add Contact Tags

Add or reactivate one or more free-form tags on a contact.

Create Contact

Create a contact from an E.

Create Group

Create a messaging group, optionally linking an existing iMessage chat and recording its members; new contacts may be created for unknown members.

Delete Contact

Soft-delete one contact identified by E.

Delete Group

Soft-delete a group, remove its members, and exit its linked iMessage chat when one exists.

Get Account

Return the authenticated organization, assigned devices, and message usage without exposing the API-key identifier.

Get Chat

Return detailed counts, participant context, and latest-message metadata for one conversation.

Get Contact

Return one contact by E.

Get Contact Capabilities

Check whether a contact can receive iMessage, SMS, or FaceTime before choosing a communication path.

Get Group

Return one messaging group by its grp_ identifier.

Get Message

Return one message with content, reactions, delivery status, protocol, errors, and inline-reply context.

Get Poll Results

Return a poll's definition, option vote counts, and total votes.

Get Risk Summary

Return the cached fleet risk rollup.

List Chats

Search and page through conversations, ordered by recent activity or oldest activity.

List Contacts

Search and page through organization contacts by identifier or name.

List Group Members

Page through the members recorded for a messaging group.

List Groups

Search and page through messaging groups by name.

List Messages

Page through messages in one chat with direction, time-window, and ordering filters.

List Numbers

List sender phone numbers assigned to the connected API key and their availability state.

Mark Chat Read

Mark every message in a chat as read and irreversibly send an externally visible read receipt to the sender; the receipt cannot be unsent.

Remove Contact Tags

Soft-delete one or more exact tags from a contact sequentially; if a later removal fails, earlier removals remain applied.

Send Message

Irreversibly send one or multiple text, attachment, multipart, or inline-reply messages; multi-recipient sends may create or reuse an unnamed group and may incur messaging charges.

Send Poll

Irreversibly send an interactive native iMessage poll to a chat.

Set Message Reaction

Add or remove a classic tapback or emoji reaction on a specific or relative message in a chat.

Update Contact

Set or clear the display name of an existing contact.

Update Group

Rename a group and, when linked, synchronize the new name to its iMessage chat.

FAQ

Frequently asked questions

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

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

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