How to integrate AimTell MCP with CrewAI

This guide walks you through connecting AimTell to CrewAI using the Composio tool router. By the end, you'll have a working AimTell agent that can list aimtell websites by subscriber count, create segment for cart abandoners, summarize campaign delivery analytics this week through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a AimTell account through Composio's AimTell MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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AimTell is a web push notification platform for managing websites, subscribers, campaigns, segments, and delivery analytics. Use it to send targeted browser notifications and measure engagement across your web push campaigns.

15 Tools

Introduction

This guide walks you through connecting AimTell to CrewAI using the Composio tool router. By the end, you'll have a working AimTell agent that can list aimtell websites by subscriber count, create segment for cart abandoners, summarize campaign delivery analytics this week through natural language commands.

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

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

Also integrate AimTell with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your AimTell connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for AimTell
  • Build a conversational loop where your agent can execute AimTell operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

What is the AimTell MCP server, and what's possible with it?

The AimTell MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your AimTell account. It provides structured and secure access to your websites, subscribers, campaigns, segments, notifications, and delivery analytics, so your agent can manage audiences, prepare campaigns, send push notifications, review results, and track delivery activity on your behalf.

  • Website and subscriber insights: Have your agent list your AimTell websites, browse subscribers, review their attributes and notification history, and filter audiences by segment.
  • Audience segment management: Let the agent create, update, list, or delete audience segments used to organize subscribers and target campaigns.
  • Campaign draft management: Direct your agent to create and revise manual campaign drafts, review campaigns across supported campaign types, or delete drafts you no longer need.
  • Targeted push notifications: Instruct your agent to send a one-off push notification to selected subscribers, a segment, an alias, or your website's full reachable audience.
  • Delivery and campaign reporting: Have your agent track daily metrics, review campaign sends, deliveries, bounces, clicks, conversions, and revenue where available, or inspect recent notification logs.

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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A AimTell connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to AimTell via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived AimTell MCP URL
6

Create a Composio Tool Router session for AimTell

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["aimtell"])

url = session.mcp.url
What's happening:
  • You create a AimTell only session through Composio
  • Composio returns an MCP HTTP URL that exposes AimTell tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

Here's the complete code to get you started with AimTell and CrewAI:

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["aimtell"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to AimTell through Composio's Tool Router. The agent can perform AimTell operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS

Supported Tools

Every AimTell action and event your agent gets out of the box.

Create Manual Campaign

Create a manual push campaign as a draft only; this tool never schedules or sends it.

Create Segment

Create a named audience segment for a website from an AimTell segment definition.

Delete Manual Campaign

Permanently delete one manual campaign by ID.

Delete Segment

Permanently delete one audience segment by ID.

Get Analytics Over Time

Return a daily AimTell metric over a date range for all websites or one website.

Get Campaign Results

Return daily send, delivery, bounce, click, conversion, and available revenue results for a manual, event-triggered, RSS, or welcome campaign.

List Campaigns

Return one page of manual, event-triggered, RSS, or API push campaigns for an AimTell website.

List Notification Logs

Return one page from AimTell's sampled notification log for the last seven days, optionally filtered to one subscriber.

List Segments

Return all audience segments for an AimTell website, including the IDs and definitions used for subscriber filtering and campaign targeting.

List Subscribers

Return one page of subscribers for an AimTell website, optionally filtered by segment or subscriber ID and optionally including attributes or notification history.

List Websites

Return one page of websites available to the connected AimTell account, including site IDs needed by other tools.

Send Push Notification

Immediately send a one-off push notification to exactly one explicitly selected audience: subscriber IDs, one segment, one alias, or the website's full reachable audience.

Set Subscriber Attributes

Set custom attributes on one subscriber identified by subscriber UID, user alias, or email alias; supplied aliases may also be associated with the subscriber.

Update Manual Campaign

Update the content or targeting of an unscheduled, unsent, non-A/B manual campaign draft without scheduling or sending it.

Update Segment

Change the name or audience definition of an existing AimTell segment.

FRAMEWORKS

How to build AimTell MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use AimTell MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use AimTell MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use AimTell MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use AimTell MCP with Claude Cowork

Codex logo

Codex

Use AimTell MCP with Codex

OpenClaw logo

OpenClaw

Use AimTell MCP with OpenClaw

Hermes logo

Hermes

Use AimTell MCP with Hermes

CLI logo

CLI

Use AimTell MCP with CLI

Google ADK logo

Google ADK

Use AimTell MCP with Google ADK

LangChain logo

LangChain

Use AimTell MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use AimTell MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use AimTell MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use AimTell MCP with LlamaIndex

FAQ

Frequently asked questions

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

Yes, you can. CrewAI 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 AimTell tools.

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

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