How to integrate Modem MCP with Mastra AI

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

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Modem is a customer intelligence platform that turns conversations into structured topics, people, and company insights. Use it to analyze feedback patterns and automate customer workflows faster.

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Introduction

This guide walks you through connecting Modem to Mastra AI using the Composio tool router. By the end, you'll have a working Modem agent that can create company records, add your contacts, review company activity, trace histories, and check identities through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Modem account through Composio's Modem 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 Modem tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Modem 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 Modem 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 Modem MCP server, and what's possible with it?

The Modem MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Modem account. It provides structured and secure access to your customer conversation topics, people, companies, channels, and activity insights, so your agent can search topics, analyze engagement, manage customer records, review histories, and organize insights on your behalf.

  • Topic discovery and analysis: Have your agent search customer conversation topics by keywords or meaning, then review summaries, classifications, priorities, participants, message groups, and history.
  • People and company insights: Let the agent find people and companies, inspect their profiles and conversation activity, and see how engagement breaks down across sources.
  • Customer record management: Direct your agent to create or update people and companies, associate people with companies, and connect external records to the right profiles.
  • Channel and activity monitoring: Instruct your agent to review connected conversation channels, message counts, company activity trends, and source-level engagement.
  • Data cleanup and topic organization: Have your agent update topic priorities or archive states, inspect change histories, and merge duplicate topics, people, or companies when needed.

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 Modem 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 Modem

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

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

Create the Mastra agent

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

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

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

Add People to Company

Associate one or more existing people with an existing company.

Create Companies

Create one to 50 companies in one batch.

Create People

Create one to 50 people in one batch.

Get Channel

Get one channel's source details, connection state, context, timestamps, and message count by UUID.

Get Company

Get one company's core details, connection values, domain, logo, and VIP status by decimal ID.

Get Company Activity

Get one company's message count, weekly activity series, and source-level message breakdown.

Get Company History

Get up to 50 company audit records plus merge history.

Get Company Identities

Get external platform identities linked to one company by Modem's identify operation.

Get Current Organization

Return the organization selected by the connected API key.

Get Person

Get one person's complete profile, including company, connections, tags, sources, timestamps, identities, and message activity aggregates.

Get Person History

Get up to 50 person audit records plus merge history.

Get Person Identities

Get all external platform identities linked to one person.

Get Person Source Stats

Get one person's message counts broken down by source platform.

Get Topic

Get one topic's complete details, including its summary, classification, lifecycle, priority, keywords, time range, archive state, and event count.

Get Topic Groups

Get every message group assigned to one topic in ascending or descending group-time order.

Get Topic History

Get up to 50 topic audit records plus action and merge history.

Get Topic People

Get every unique person who participated in one topic, including source identities, company, profile, VIP state, and contribution count.

Identify External Records

Upsert links from external platform records to Modem people and companies in batches of 50.

List Channels

List organization channels with connection state and message counts, optionally filtered by source, name, or channel IDs.

List Companies

List companies with person and message aggregates, optionally searching and sorting the result.

List Groups

List message groups for exactly one company or one person, returning compact message content and topic context one page at a time.

List People

List people with aggregated message statistics, optionally filtering by search text, ecosystem tags, or company and sorting the result.

List and Search Topics

List or search topics by keywords or semantic meaning with organization, participant, source, status, date, and classification filters, one page at a time.

Merge Companies Irreversibly

Irreversibly merge one or more source companies into one surviving target.

Merge People Irreversibly

Irreversibly merge one or more source people into one surviving target.

Merge Topics Irreversibly

Irreversibly merge 1 to 50 source topics into one surviving target.

Update Companies

Update one to 50 companies in one batch.

Update People

Update one to 50 people in one batch.

Update Topic

Update one topic's priority, lifecycle, issue type, complete keyword list, or archive state.

Update Topics

Set priority or archive state for one to 100 topics at once.

FRAMEWORKS

How to build Modem MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Modem MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Modem MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Modem MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Modem MCP with Claude Cowork

Codex logo

Codex

Use Modem MCP with Codex

OpenClaw logo

OpenClaw

Use Modem MCP with OpenClaw

Hermes logo

Hermes

Use Modem MCP with Hermes

CLI logo

CLI

Use Modem MCP with CLI

Google ADK logo

Google ADK

Use Modem MCP with Google ADK

LangChain logo

LangChain

Use Modem MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Modem MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Modem MCP with LlamaIndex

CrewAI logo

CrewAI

Use Modem MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, absolutely. You can configure which Modem 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 Modem 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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