# How to integrate Dialmycalls MCP with CrewAI

```json
{
  "title": "How to integrate Dialmycalls MCP with CrewAI",
  "toolkit": "Dialmycalls",
  "toolkit_slug": "dialmycalls",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/dialmycalls/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/dialmycalls/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:08:36.828Z"
}
```

## Introduction

This guide walks you through connecting Dialmycalls to CrewAI using the Composio tool router. By the end, you'll have a working Dialmycalls agent that can add a new contact named lisa chen, create a group for emergency alerts, delete the caller id ending in 4321 through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Dialmycalls account through Composio's Dialmycalls MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Dialmycalls with

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

## TL;DR

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

The Dialmycalls MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dialmycalls account. It provides structured and secure access to your mass notification system, allowing your agent to manage contacts, groups, and broadcast voice or text messages—all on your behalf.
- Contact and group management: Effortlessly add, update, or remove individual contacts and organize recipients into groups for targeted messaging.
- Account and sub-account administration: View your main account details, manage access (sub) accounts, and streamline team communication permissions.
- Broadcast preparation: Set up caller IDs, upload or delete recordings, and get everything ready for your next mass notification campaign.
- Data cleanup and maintenance: Easily delete old contacts, groups, caller IDs, or recordings to keep your Dialmycalls account organized and up to date.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DIALMYCALLS_ADD_ACCESS_ACCOUNT` | Add Access Account | Tool to add a new access (sub) account. Use when you need to delegate dialing capabilities to another user after setting up your master account. |
| `DIALMYCALLS_ADD_CONTACT` | Add Contact | Tool to add a contact to your contact list. Use when you need to store a new contact's phone (and optional name, email, or group) before sending messages. |
| `DIALMYCALLS_ADD_GROUP` | Add Group | Tool to add a new contact group. Use after deciding the group name to organize recipients into groups. |
| `DIALMYCALLS_DELETE_ACCESS_ACCOUNT` | Delete Access Account | Tool to delete an access (sub) account by ID. Use when removing a sub account after deprovisioning. |
| `DIALMYCALLS_DELETE_CALLER_ID` | Delete Caller ID | Tool to delete a caller ID. Use when you need to permanently remove an existing caller ID no longer in use. |
| `DIALMYCALLS_DELETE_CONTACT` | Delete Contact | Tool to delete a contact by ID. Use when you need to permanently remove a contact from your list. |
| `DIALMYCALLS_DELETE_GROUP` | Delete Group | Tool to delete a contact group by ID. Use when you need to remove an existing contact group after confirming its ID. |
| `DIALMYCALLS_DELETE_RECORDING` | Delete Recording | Tool to delete a recording by ID. Use when you need to permanently remove a custom recording after confirming its recording ID. |
| `DIALMYCALLS_GET_ACCESS_ACCOUNT` | Get Access Account | Tool to retrieve an access (sub) account by ID. Use when you need to inspect the details of a specific sub-account. |
| `DIALMYCALLS_GET_ACCOUNT` | Get Account | Tool to retrieve your main account details. Use when you need to confirm account ID, remaining credits, and status. |
| `DIALMYCALLS_GET_CALLER_ID` | Get Caller ID | Tool to retrieve a caller ID by ID. Use when you need its details such as phone number and verification status. |
| `DIALMYCALLS_GET_CONTACT` | Get Contact | Tool to retrieve a contact by its unique ID. Use when you need to fetch details of a specific contact from your account. |
| `DIALMYCALLS_GET_GROUP` | Get Group | Tool to retrieve a contact group by ID. Use when you need to fetch group details after creating or updating a group. |
| `DIALMYCALLS_GET_RECORDING` | Get Recording | Tool to retrieve a recording by ID. Use when you need details and file URL of an existing recording. |
| `DIALMYCALLS_LIST_ACCESS_ACCOUNTS` | List Access Accounts | Tool to list all access (sub) accounts. Use when you need to retrieve paginated sub-account information for administration or reporting. |
| `DIALMYCALLS_LIST_CALLER_I_DS` | List Caller IDs | Tool to list all caller IDs on the account. Use when you need to enumerate existing caller IDs before performing other operations. |
| `DIALMYCALLS_LIST_CALLS` | List Calls | Tool to list all call broadcasts on the account. Use when you need to retrieve or manage call records with optional filters like name, type, status, dates, pagination, and sorting. |
| `DIALMYCALLS_LIST_CONTACTS` | List Contacts | Tool to list all contacts in your contact list. Use when fetching paginated or filtered contact data for review (e.g., after adding or updating contacts). |
| `DIALMYCALLS_LIST_DO_NOT_CONTACTS` | List Do Not Contacts | Tool to list all Do Not Contact entries. Use when you need to review or manage blocked phone numbers or emails in your account. Supports pagination and filtering by type and search. |
| `DIALMYCALLS_LIST_GROUPS` | List Groups | Tool to list all contact groups. Use when you need an overview of existing groups before sending messages. |
| `DIALMYCALLS_LIST_RECORDINGS` | List Recordings | Tool to list all recordings. Use when you need to retrieve your account's recordings for auditing or bulk management. |
| `DIALMYCALLS_LIST_TEXTS` | List Text Broadcasts | Tool to list all outgoing text broadcasts. Use when you need to review past text broadcasts with filters for date, status, and pagination. |
| `DIALMYCALLS_LIST_VANITY_NUMBERS` | List Vanity Numbers | Tool to list all vanity numbers. Use when you need to retrieve available vanity phone numbers with pagination support. |
| `DIALMYCALLS_UPDATE_ACCESS_ACCOUNT` | Update Access Account | Tool to update an existing access (sub) account by ID. Use when you need to change details like email, phone, name, password, or activation status after account creation. |
| `DIALMYCALLS_UPDATE_CALLER_ID` | Update Caller ID | Tool to update an existing caller ID by ID. Use when you need to change its phone number or display name. |

## Supported Triggers

None listed.

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

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

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

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

- [OpenAI Agents SDK](https://composio.dev/toolkits/dialmycalls/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/dialmycalls/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/dialmycalls/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/dialmycalls/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/dialmycalls/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/dialmycalls/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/dialmycalls/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/dialmycalls/framework/cli)
- [Google ADK](https://composio.dev/toolkits/dialmycalls/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/dialmycalls/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/dialmycalls/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/dialmycalls/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/dialmycalls/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.
- [Agent mail](https://composio.dev/toolkits/agent_mail) - Agent mail provides AI agents with dedicated email inboxes for sending, receiving, and managing emails. It empowers agents to communicate autonomously with people, services, and other agents—no human intervention needed.
- [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.
- [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 Dialmycalls MCP?

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

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

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

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