How to integrate Active campaign MCP with Mastra AI

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Introduction

This guide walks you through connecting Active campaign to Mastra AI using the Composio tool router. By the end, you'll have a working Active campaign agent that can add a note to john doe's contact record, create a new contact with email and tags, add contact jane@company.com to 'welcome series' automation, create a follow-up task for a lead due friday through natural language commands.

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

The ActiveCampaign MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your ActiveCampaign account. It provides structured and secure access to your marketing automation and CRM data, so your agent can perform actions like adding contacts, managing deals, creating tasks, and organizing pipelines on your behalf.

  • Automated contact management: Easily add new contacts, update details, or attach notes so your customer database stays current and actionable.
  • Sales pipeline creation and management: Let your agent create, customize, or delete deal pipelines and organize deals through every stage of your sales process.
  • Task and activity automation: Have your agent create tasks for contacts and deals, assign due dates, and ensure important follow-ups never slip through the cracks.
  • Deal and account organization: Automatically create, update, or remove accounts and associate them with the right contacts and opportunities for seamless CRM workflows.
  • Seamless automation enrollment: Add contacts directly to specific automations, personalizing your marketing or sales outreach at scale without manual effort.

Supported Tools & Triggers

Tools
Add contact noteAdd a note to a contact in activecampaign.
Add Contact to AutomationThis tool adds an existing contact to a specific automation in activecampaign.
Add Secondary Contact to DealThis tool adds a secondary contact to an existing deal in activecampaign.
Create AccountThis tool creates a new account in activecampaign.
Create contactCreates a new contact in activecampaign with the specified details.
Create contact taskCreate a task associated with a contact in activecampaign.
Create Deal PipelineCreates a new deal pipeline in activecampaign.
Create Deal Task TypeThis tool creates a new deal task type in activecampaign.
Delete AccountThis tool deletes an existing account in activecampaign.
Delete Deal PipelineThis tool deletes an existing deal pipeline in activecampaign.
Delete Deal StageThis tool deletes an existing deal stage in activecampaign.
Find contactFind a specific contact in activecampaign using either their email address, id, or phone number.
Find Contact TasksThis tool allows you to find tasks associated with a specific contact in activecampaign.
Find User by EmailThis tool allows you to find a user in activecampaign by their email address, returning detailed information including first name, last name, email, phone, organization details, and related resource links.
List all contactsList all contacts in activecampaign.
Manage contact tagManage tags for a contact in activecampaign.
Manage list subscriptionSubscribe or unsubscribe a contact from a list in activecampaign.
Remove Contact from AutomationThis tool removes a contact from a specified automation in activecampaign.
Track Event in ActiveCampaignThis tool creates a custom website or application event in activecampaign by recording events through a post api endpoint.
Update AccountThis tool updates an existing account in activecampaign.
Upsert AccountThis tool creates a new account if it doesn't exist or updates an existing account in activecampaign.

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 Active campaign 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 Active campaign

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

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

Create the Mastra agent

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

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "active_campaign-mastra-agent",
    instructions: "You are an AI agent with Active campaign 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: { active_campaign: 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 Active campaign 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 Active campaign MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Active campaign MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Active campaign MCP with Claude Agent SDK

Google ADK

Google ADK

Use Active campaign MCP with Google ADK

LangChain

LangChain

Use Active campaign MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Active campaign MCP with Vercel AI SDK

LlamaIndex

LlamaIndex

Use Active campaign MCP with LlamaIndex

CrewAI

CrewAI

Use Active campaign MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Active campaign MCP?

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

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

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

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