# How to integrate Emailable MCP with CrewAI

```json
{
  "title": "How to integrate Emailable MCP with CrewAI",
  "toolkit": "Emailable",
  "toolkit_slug": "emailable",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/emailable/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/emailable/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:10:12.179Z"
}
```

## Introduction

This guide walks you through connecting Emailable to CrewAI using the Composio tool router. By the end, you'll have a working Emailable agent that can check if this email address is valid, verify a list of emails before newsletter send, get your emailable account credit balance through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Emailable account through Composio's Emailable MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Emailable with

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

## TL;DR

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

The Emailable MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Emailable account. It provides structured and secure access to your email verification services, so your agent can perform actions like real-time email validation, bulk batch checks, account monitoring, and verification status tracking on your behalf.
- Instant email address verification: Ask your agent to check if a single email address is valid, risky, or deliverable before you send that important message.
- Bulk batch email validation: Have the agent verify thousands of email addresses at once for newsletters, campaigns, or CRM imports, ensuring high deliverability rates.
- Batch job status monitoring: Let your agent track the progress and results of ongoing or completed batch verification jobs for timely follow-up actions.
- Account status and credit checks: Retrieve your Emailable account details, including owner info and available credits, to make sure you never run out of verification capacity.
- Seamless OAuth onboarding: Initiate the OAuth flow to securely grant your agent access to Emailable whenever needed, all without manual credential handling.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `EMAILABLE_GET_ACCOUNT_INFO` | Get Account Info | Tool to retrieve account information including owner email and available credits. Use when you need to confirm account status before sending email verifications. |
| `EMAILABLE_GET_BATCH_STATUS` | Get Batch Status | Tool to get the status and results of a batch verification job. Use after submitting a batch to check its progress. |
| `EMAILABLE_O_AUTH_AUTHORIZE` | Build OAuth Authorization URL | Build an OAuth 2.0 authorization URL for the Emailable authorization code flow. Returns a URL to redirect users to for authorization. Upon successful authorization, users are redirected to your redirect_uri with an authorization code (valid for 10 minutes) that can be exchanged for access tokens. |
| `EMAILABLE_VERIFY_BATCH_EMAILS` | Verify Batch Emails | Submit a batch of email addresses for asynchronous verification. Returns a batch ID immediately. Use this for bulk email validation (2 to 50,000 emails). For single emails, use EMAILABLE_VERIFY_EMAIL instead. The batch is processed asynchronously - use EMAILABLE_GET_BATCH_STATUS with the returned batch ID to check progress and retrieve verification results. |
| `EMAILABLE_VERIFY_EMAIL` | Verify Email | Tool to verify a single email address and return detailed results. Use when you need to check email deliverability and risk. |

## Supported Triggers

None listed.

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

The Emailable MCP server is an implementation of the Model Context Protocol that connects your AI agent to Emailable. It provides structured and secure access so your agent can perform Emailable 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 Emailable 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 Emailable 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 Emailable 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 Emailable

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

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=["emailable"],
)
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 Emailable through Composio's Tool Router. The agent can perform Emailable 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 Emailable MCP Agent with another framework

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

## Related Toolkits

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- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Emailable MCP?

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

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

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

---
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