How to integrate Composio MCP with Mastra AI

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Introduction

This guide walks you through connecting Composio to Mastra AI using the Composio tool router. By the end, you'll have a working Composio agent that can generate a step-by-step workflow plan, check active connections for all toolkits, download public s3 file to local path, show tool dependencies for workflow setup through natural language commands.

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

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

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

The Composio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Composio account. It provides structured and secure access to your connected tools, so your agent can plan workflows, orchestrate complex actions, manage integrations, and execute cross-tool automations on your behalf.

  • Automated workflow planning and execution: The agent can generate and run step-by-step plans for complex, multi-tool use cases—ensuring tasks are completed reliably, even when they span multiple services.
  • Connection management and discovery: Effortlessly check the status of multiple toolkit connections, discover what integrations are active, and manage how your agent connects to different services.
  • Tool and dependency exploration: Ask your agent to map out tool dependencies, discover related tools, and understand which tools work best together for your workflow.
  • Direct code and command execution: Let the agent run code snippets or shell commands in supported environments, tying together automation across your stack.
  • Bulk and parallel operations: Use specialized tools for parallel execution or to handle many similar tasks at once—speeding up large automations by making multiple calls in a single workflow.

Supported Tools & Triggers

Tools
Ask OracleStatic helper that returns a comprehensive system prompt describing how to plan and execute tasks using the available composio tools and workflows.
Check active connection (deprecated)Deprecated: use check active connections instead for bulk operations.
Check multiple active connectionsCheck active connection status for multiple toolkits or specific connected account ids.
Create PlanThis is a workflow builder that ensures the LLM produces a complete, step-by-step plan for any use case.
Download S3 FileDownload a file from a public s3 (or r2) url to a local path.
Enable triggerEnable a specific trigger for the authenticated user.
Execute agentExecute complex workflows using ai agent reasoning between multiple tool calls.
Execute Composio ToolExecute a tool using the composio api.
Get Tool Dependency GraphGet the dependency graph for a given tool, showing related parent tools that might be useful.
Get required parameters for connectionGets the required parameters for connecting to a toolkit via initiate connection.
Get response schemaRetrieves the response schema for a specified composio tool.
Initiate connectionInitiate a connection to a toolkit with comprehensive authentication support.
List toolkitsList all the available toolkits on composio with filtering options.
List triggersList available triggers and their configuration schemas.
Manage connectionManage a connection to a toolkit with comprehensive authentication support.
Manage connectionsCreate or manage connections to user's apps.
Multi Execute Composio ToolsFast and parallel tool executor for tools discovered through COMPOSIO_SEARCH_TOOLS.
Run bash commandsExecute bash commands in a REMOTE sandbox for file operations, data processing, and system tasks.
Execute Code remotely in work benchProcess REMOTE FILES or script BULK TOOL EXECUTIONS using Python code IN A REMOTE SANDBOX.
Retrieve ToolkitsToolkits are like github, linear, gmail, etc.
Search agentDiscover tools and analyze dependencies for complex workflows using ai agent.
Search Composio ToolsMCP Server Info: COMPOSIO MCP connects 500+ apps—Slack, GitHub, Notion, Google Workspace (Gmail, Sheets, Drive, Calendar), Microsoft (Outlook, Teams), X, Figma, Web Search, Meta apps (WhatsApp, Instagram), TikTok, AI tools like Nano Banana & Veo3, and more—for seamless cross-app automation.
Wait for connectionWait for the user to complete authentication AFTER you have given them an auth URL from COMPOSIO_MANAGE_CONNECTIONS.
Create / Update Recipe from WorkflowConvert the executed workflow into a notebook.
Execute RecipeExecutes a Recipe
Create / Update Skill from WorkflowConvert the executed workflow into a skill using Python Pydantic code.
Get Existing Recipe DetailsGet the details of the existing recipe for a given recipe id.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router 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 Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router 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

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

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 Composio through MCP.

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

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

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

Create a Tool Router session for Composio

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

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

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 Composio toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "composio-mastra-agent",
    instructions: "You are an AI agent with Composio 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

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: {
        composio: 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 Composio 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 Composio 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: ["composio"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "composio-mastra-agent",
    instructions: "You are an AI agent with Composio 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: { composio: 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 Composio 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

How to build Composio MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Composio MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Composio MCP with Claude Agent SDK

Google ADK

Google ADK

Use Composio MCP with Google ADK

LangChain

LangChain

Use Composio MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Composio MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use Composio MCP with LlamaIndex

CrewAI

CrewAI

Use Composio MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Composio MCP?

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

Can I use Tool Router MCP with Mastra AI?

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 Composio tools.

Can I manage the permissions and scopes for Composio while using Tool Router?

Yes, absolutely. You can configure which Composio 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.

How safe is my data with Composio Tool Router?

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 Composio data and credentials are handled as safely as possible.

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Letta
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HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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