# How to integrate Adrapid MCP with CrewAI

```json
{
  "title": "How to integrate Adrapid MCP with CrewAI",
  "toolkit": "Adrapid",
  "toolkit_slug": "adrapid",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/adrapid/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/adrapid/framework/crew-ai.md",
  "updated_at": "2026-10-04T17:15:56.616Z"
}
```

## Introduction

This guide walks you through connecting Adrapid to CrewAI using the Composio tool router. By the end, you'll have a working Adrapid agent that can list all banners with status ready, show your adrapid account api details, get version info for adrapid api through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Adrapid account through Composio's Adrapid MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Adrapid with

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

## TL;DR

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

The Adrapid MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Adrapid account. It provides structured and secure access to your banners, account details, and API information, so your agent can list banners, review their statuses, inspect account information, and check the current API version on your behalf.
- Banner inventory: Have your agent list all banners in your Adrapid account.
- Banner status tracking: Let the agent review banner statuses so you can see where each visual stands.
- Account and API details: Direct your agent to retrieve information about your Adrapid user account and API access.
- API version checks: Instruct your agent to check the current Adrapid API version when troubleshooting or validating compatibility.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ADRAPID_GET_API_INFO` | Get API info | Retrieves AdRapid API version information from the root endpoint. Use this tool to: - Check the current API version being used - Verify API connectivity and authentication - Ensure compatibility with API features Returns the current API version number (e.g., "1.5.0"). |
| `ADRAPID_GET_SYSTEM_ME` | Get user and API info | Tool to get user account and API information. Use when you need to retrieve authenticated user details and API versions. |
| `ADRAPID_LIST_BANNERS` | List Banners | Tool to list all banners and their statuses. Use when you need to retrieve banners after creation or to audit existing banners. Ensure you apply filters to narrow down results (e.g., status='ready'). |

## Supported Triggers

None listed.

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

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

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

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

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

## Related Toolkits

- [Metaads](https://composio.dev/toolkits/metaads) - Metaads is Meta's official Ads API that lets you manage, analyze, and optimize your Facebook and Instagram ad campaigns. Streamline ad operations and gain deeper insights with robust automation.
- [AdRoll](https://composio.dev/toolkits/adroll) - AdRoll is a digital marketing platform for managing advertising campaigns, audiences, and account-based marketing. It helps marketers retarget customers across channels and measure performance.
- [Adtraction](https://composio.dev/toolkits/adtraction) - Adtraction is an affiliate marketing platform for partner programs, tracking links, transactions, commissions, statistics, and payments. It helps advertisers and publishers manage performance marketing with clear reporting and payout workflows.
- [Adyntel](https://composio.dev/toolkits/adyntel) - Adyntel is an API that retrieves LinkedIn ads for any company using a domain or LinkedIn Page ID. Easily access competitive ad intelligence to power your marketing workflows.
- [Beaconstac](https://composio.dev/toolkits/beaconstac) - Beaconstac is a platform for creating and managing QR codes and proximity beacons. It helps businesses engage customers and track marketing performance with powerful analytics.
- [Bouncify](https://composio.dev/toolkits/bouncify) - Bouncify is an email verification service for single addresses and bulk lists. Use it to reduce bounces, protect sender reputation, and track verification credits.
- [Bulk Email Checker](https://composio.dev/toolkits/bulk_email_checker) - Bulk Email Checker is an email verification service for checking address validity, mailbox status, domains, and mail-server signals. It helps reduce bounces, spot risky emails, and keep outreach lists cleaner before you send.
- [Campaign cleaner](https://composio.dev/toolkits/campaign_cleaner) - Campaign cleaner is an email campaign optimization tool that boosts compatibility and deliverability across email clients. It helps marketers get better results by cleaning, enhancing, and ensuring high performance for every campaign.
- [Deadline funnel](https://composio.dev/toolkits/deadline_funnel) - Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers.
- [DeBounce](https://composio.dev/toolkits/debounce) - DeBounce is an email verification service for checking address validity, deliverability, and risk. It helps keep contact lists clean so your campaigns reach real inboxes.
- [Easy Email Verification](https://composio.dev/toolkits/easy_email_verification) - Easy Email Verification is an email validation service for checking single addresses and bulk lists. Use it to reduce bounces, clean contact data, and protect sender reputation.
- [Elastic Email](https://composio.dev/toolkits/elastic_email) - Elastic Email is an email delivery and marketing platform for transactional emails, campaigns, contacts, and reporting. Use it to send reliable emails, manage audiences, verify addresses, and track performance.
- [Fairing](https://composio.dev/toolkits/fairing) - Fairing is a post-purchase survey and attribution platform for ecommerce brands. It helps teams measure which marketing channels, campaigns, and customer touchpoints drive purchases.
- [GoDaddy MCP](https://composio.dev/toolkits/godaddy_mcp) - GoDaddy MCP is a domain discovery toolkit for checking availability and generating AI-powered name ideas. Use it to move from rough business keywords to practical domain options fast.
- [Google Ads](https://composio.dev/toolkits/googleads) - Google Ads is Google's online advertising platform for creating, managing, and optimizing digital campaigns. It helps businesses reach targeted customers and maximize return on ad spend.
- [Handwrite.io](https://composio.dev/toolkits/handwrite) - Handwrite.io is a direct mail service for creating physical handwritten card orders. It helps teams send personal cards with selectable handwriting, stationery, and tracking.
- [Inblog](https://composio.dev/toolkits/inblog) - Inblog is an AI-powered blogging platform for posts, authors, tags, redirects, design settings, analytics, and lead forms. Use it to manage SEO-focused content, measure performance, and capture blog leads in one place.
- [Instantly](https://composio.dev/toolkits/instantly) - Instantly is a platform for automating cold email outreach, managing leads, and optimizing deliverability. Get better results from email campaigns with minimal manual effort.
- [Invalid Bounce](https://composio.dev/toolkits/invalid_bounce) - Invalid Bounce is an email verification service with a bulk verification API. Use it to clean email lists, reduce bounces, and protect sender reputation.
- [Keyword](https://composio.dev/toolkits/keyword) - Keyword.com is a digital marketing platform for search rank tracking and SEO analytics. Use it to monitor keyword performance, spot ranking changes, and measure SEO visibility.

## Frequently Asked Questions

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

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

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

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

---
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