# How to integrate Agent mail MCP with CrewAI

```json
{
  "title": "How to integrate Agent mail MCP with CrewAI",
  "toolkit": "Agent mail",
  "toolkit_slug": "agent_mail",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/agent_mail/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/agent_mail/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:00:24.734Z"
}
```

## Introduction

This guide walks you through connecting Agent mail to CrewAI using the Composio tool router. By the end, you'll have a working Agent mail agent that can show me unread emails from today, send a status update to your team, find emails with invoice attachments through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Agent mail account through Composio's Agent mail MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Agent mail with

- [ChatGPT](https://composio.dev/toolkits/agent_mail/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/agent_mail/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/agent_mail/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/agent_mail/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/agent_mail/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/agent_mail/framework/codex)
- [Cursor](https://composio.dev/toolkits/agent_mail/framework/cursor)
- [VS Code](https://composio.dev/toolkits/agent_mail/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/agent_mail/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/agent_mail/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/agent_mail/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/agent_mail/framework/cli)
- [Google ADK](https://composio.dev/toolkits/agent_mail/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/agent_mail/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/agent_mail/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/agent_mail/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/agent_mail/framework/llama-index)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Agent mail connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Agent mail
- Build a conversational loop where your agent can execute Agent mail 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 Agent mail MCP server, and what's possible with it?

The Agent mail MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Agent mail account. It provides structured and secure access to your agent's dedicated inbox, so your agent can send emails, receive incoming messages, fetch specific conversations, and automate email-based workflows on your behalf.
- Automated email sending: Instruct your agent to compose and send emails to any recipient, perfect for status updates, notifications, or outreach.
- Message listing and inbox scanning: Let your agent quickly list all recent messages in the inbox to summarize, monitor, or trigger follow-up actions.
- Targeted message retrieval: Have your agent fetch a specific message by ID, making it easy to pull full email content for context-aware decisions or replies.
- Streamlined agent-to-agent communication: Enable your AI to directly interact with other agents or services via email, automating routine communication flows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `AGENT_MAIL_CREATE_INBOX` | Create Inbox | Create a new AgentMail inbox via API. Returns the inbox_id and email address for sending/receiving messages. Use when provisioning new inboxes for agents or workflows. |
| `AGENT_MAIL_GET_MESSAGE` | Get Message | Retrieve the complete details of a specific email message from an AgentMail inbox. This action returns the full message content including sender, recipients, subject, body (both text and HTML), attachments, labels, and metadata. Use this to read individual messages after discovering them via LIST_MESSAGES or webhooks. |
| `AGENT_MAIL_LIST_INBOXES` | List Inboxes | List all inboxes available to the authenticated AgentMail account. Use this to discover valid inbox_id values for message operations. |
| `AGENT_MAIL_LIST_MESSAGES` | List Messages | List messages from an AgentMail inbox. Returns a `messages` array; each message uses `message_id` and `timestamp` fields (not `id`, `date`, or `items`). |
| `AGENT_MAIL_SEND_EMAIL` | Send Email | Send an email using AgentMail API |

## Supported Triggers

| Trigger slug | Name | Description |
|---|---|---|
| `AGENT_MAIL_NEW_EMAIL_TRIGGER` | New Email Received | Trigger for new emails in an AgentMail inbox |

## Creating MCP Server - Stand-alone vs Composio SDK

The Agent mail MCP server is an implementation of the Model Context Protocol that connects your AI agent to Agent mail. It provides structured and secure access so your agent can perform Agent mail operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**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 Agent mail MCP URL
```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")
```

### 5. Create a Composio Tool Router session for Agent mail

**What's happening:**
- You create a Agent mail only session through Composio
- Composio returns an MCP HTTP URL that exposes Agent mail tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["agent_mail"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**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.
```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,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**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.
```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")
```

## Complete Code

```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=["agent_mail"],
)
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 Agent mail through Composio's Tool Router. The agent can perform Agent mail 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

## How to build Agent mail MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/agent_mail/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/agent_mail/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/agent_mail/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/agent_mail/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/agent_mail/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/agent_mail/framework/codex)
- [Cursor](https://composio.dev/toolkits/agent_mail/framework/cursor)
- [VS Code](https://composio.dev/toolkits/agent_mail/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/agent_mail/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/agent_mail/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/agent_mail/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/agent_mail/framework/cli)
- [Google ADK](https://composio.dev/toolkits/agent_mail/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/agent_mail/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/agent_mail/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/agent_mail/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/agent_mail/framework/llama-index)

## Related Toolkits

- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.
- [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication.
- [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack.
- [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Chatwork](https://composio.dev/toolkits/chatwork) - Chatwork is a team communication platform with group chats, file sharing, and task management. It helps businesses boost collaboration and streamline productivity.
- [Clickmeeting](https://composio.dev/toolkits/clickmeeting) - ClickMeeting is a cloud-based platform for running online meetings and webinars. It helps businesses and individuals host, manage, and engage virtual audiences with ease.
- [Confluence](https://composio.dev/toolkits/confluence) - Confluence is Atlassian's team collaboration and knowledge management platform. It helps your team organize, share, and update documents and project content in one secure workspace.
- [Dailybot](https://composio.dev/toolkits/dailybot) - DailyBot streamlines team collaboration with chat-based standups, reminders, and polls. It keeps work flowing smoothly in your favorite messaging platforms.
- [Dialmycalls](https://composio.dev/toolkits/dialmycalls) - Dialmycalls is a mass notification service for sending voice and text messages to contacts. It helps teams and organizations quickly broadcast urgent alerts and updates.
- [Dialpad](https://composio.dev/toolkits/dialpad) - Dialpad is a cloud-based business phone and contact center system for teams. It unifies voice, video, messaging, and meetings across your devices.
- [Discord](https://composio.dev/toolkits/discord) - Discord is a real-time messaging and VoIP platform for communities and teams. It lets users chat, share media, and collaborate across public and private channels.
- [Discordbot](https://composio.dev/toolkits/discordbot) - Discordbot is an automation tool for Discord servers that handles moderation, messaging, and user engagement. It helps communities run smoothly by automating routine and complex tasks.
- [Echtpost](https://composio.dev/toolkits/echtpost) - Echtpost is a secure digital communication platform for encrypted document and message exchange. It ensures confidential data stays private and protected during transmission.
- [Egnyte](https://composio.dev/toolkits/egnyte) - Egnyte is a cloud-based platform for secure file sharing, storage, and governance. It helps teams collaborate efficiently while maintaining data compliance and security.
- [Google Meet](https://composio.dev/toolkits/googlemeet) - Google Meet is a secure video conferencing platform for virtual meetings, chat, and screen sharing. It helps teams connect, collaborate, and communicate seamlessly from anywhere.
- [Heartbeat](https://composio.dev/toolkits/heartbeat) - Heartbeat is a plug-and-play platform for building and managing online communities. It helps you organize users, channels, events, and discussions in one place.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Agent mail MCP?

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

### Can I use Tool Router MCP with CrewAI?

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 Agent mail tools.

### Can I manage the permissions and scopes for Agent mail while using Tool Router?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)