How to integrate Bread & Butter MCP with Mastra AI

This guide walks you through connecting Bread & Butter to Mastra AI using the Composio tool router. By the end, you'll have a working Bread & Butter agent that can list your applications, review events, browse leads, get user insights, and view attribution reports through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Bread & Butter account through Composio's Bread & Butter MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Bread & Butter is a lead-intelligence and identity platform for website visitor tracking, user profiles, attribution, authentication, and conversion workflows. It helps teams understand who is visiting, where leads come from, and how users convert.

8 Tools

Introduction

This guide walks you through connecting Bread & Butter to Mastra AI using the Composio tool router. By the end, you'll have a working Bread & Butter agent that can list your applications, review events, browse leads, get user insights, and view attribution reports through natural language commands.

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

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

Also integrate Bread & Butter 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 Bread & Butter tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Bread & Butter 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 Bread & Butter 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 Bread & Butter MCP server, and what's possible with it?

The Bread & Butter MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bread & Butter account. It provides structured and secure access to your applications, leads, visitor activity, attribution data, and user insights, so your agent can review application settings, find leads, analyze events, assess attribution, and summarize visitor journeys on your behalf.

  • Lead and visitor research: Have your agent list lead and visitor profiles, find profiles by email address, and review saved lead lists.
  • Attribution reporting: Let the agent retrieve visitor and conversion attribution metrics by reporting period and source.
  • User journey insights: Direct your agent to summarize attribution and user journey trends, including top pages and geographic details when needed.
  • Activity event review: Instruct your agent to list tracked events by user or date range and review the event definitions configured for your application.
  • Application overview: Have your agent list available applications and review settings, feature flags, plan details, and lead status definitions.

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 Bread & Butter 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 Bread & Butter

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

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

Create the Mastra agent

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

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

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

Get Application

Return settings, feature flags, plan details, and lead-status definitions for the application bound to the connected credentials.

Get Attribution Report

Return visitor and conversion attribution metrics by reporting period and source for the connected application.

Get User Insights

Return aggregate attribution and user-journey insights for the connected application, with optional top-page and geography detail.

List Applications

List Bread & Butter applications available to the connected credentials, optionally filtering by status or name; returns one page and a continuation cursor.

List Event Definitions

List configured event definitions for the connected application, optionally filtering by enabled status; returns one page and a continuation cursor.

List Events

List tracked activity events for the connected application, optionally scoped to a user or date range; returns one page and a continuation cursor.

List Lead Lists

Return the saved lead lists configured for the application bound to the connected credentials.

List Leads

List lead and visitor profiles for the connected application, optionally filtering by email address; returns one page and a continuation cursor.

FRAMEWORKS

How to build Bread & Butter MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Bread & Butter MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Bread & Butter MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Bread & Butter MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Bread & Butter MCP with Claude Cowork

Codex logo

Codex

Use Bread & Butter MCP with Codex

OpenClaw logo

OpenClaw

Use Bread & Butter MCP with OpenClaw

Hermes logo

Hermes

Use Bread & Butter MCP with Hermes

CLI logo

CLI

Use Bread & Butter MCP with CLI

Google ADK logo

Google ADK

Use Bread & Butter MCP with Google ADK

LangChain logo

LangChain

Use Bread & Butter MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Bread & Butter MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Bread & Butter MCP with LlamaIndex

CrewAI logo

CrewAI

Use Bread & Butter MCP with CrewAI

FAQ

Frequently asked questions

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

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

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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.

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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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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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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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