# How to integrate Asin data api MCP with CrewAI

```json
{
  "title": "How to integrate Asin data api MCP with CrewAI",
  "toolkit": "Asin data api",
  "toolkit_slug": "asin_data_api",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/asin_data_api/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/asin_data_api/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:02:03.759Z"
}
```

## Introduction

This guide walks you through connecting Asin data api to CrewAI using the Composio tool router. By the end, you'll have a working Asin data api agent that can list all price tracking requests in your collection, delete outdated asin requests from a collection, show paginated reviews requests for a product through natural language commands.
This guide will help you understand how to give your CrewAI agent real control over a Asin data api account through Composio's Asin data api MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Asin data api with

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

## TL;DR

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

The Asin data api MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Asin data api account. It provides structured and secure access to your Amazon product request collections, so your agent can perform actions like listing, reviewing, and clearing product data requests on your behalf.
- Paginated request listing: Easily have your agent fetch and browse all product data requests within a specific collection, with full support for pagination.
- Bulk request deletion: Direct your agent to delete multiple request entries from a collection at once, streamlining data management and cleanup.
- Efficient collection management: Let your agent organize and maintain your Amazon product data request collections for better workflow and data hygiene.
- Automated monitoring of collection requests: Use your agent to regularly review incoming product data requests and take action as needed, reducing manual oversight.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ASIN_DATA_API_CLEAR_COLLECTION_REQUESTS` | Clear multiple collection requests | Delete multiple requests from a collection by their IDs using the bulk delete endpoint. Use this tool when you need to remove a selected set of request entries from an existing collection. Note: Requests can only be deleted when the collection is not running. |
| `ASIN_DATA_API_DELETE_DESTINATION` | Delete Destination | Delete a destination from your account. Use this when you need to remove a destination that is no longer needed. |
| `ASIN_DATA_API_GET_COLLECTION` | Get Collection Details | Get details of a specific collection including status and request counts. Use when you need to check collection configuration, operational status, or aggregate statistics. |
| `ASIN_DATA_API_LIST_COLLECTION_REQUESTS` | List Collection Requests | List all requests in a Collection (paginated). Use to retrieve and paginate through all requests added to a specific collection. Returns up to 1000 requests per page with pagination info. |
| `ASIN_DATA_API_LIST_DESTINATIONS` | List Destinations | List all destinations configured on your account. Use to retrieve and filter destination configurations for data export. Maximum 50 destinations allowed per account. Returns 10 destinations per page with pagination support. |
| `ASIN_DATA_API_UPDATE_DESTINATION` | Update Destination | Update an existing destination's configuration. Use to modify cloud storage settings, change the destination name, or enable/disable a destination. Only include fields you want to update. |

## Supported Triggers

None listed.

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

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

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

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=["asin_data_api"],
)
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 Asin data api through Composio's Tool Router. The agent can perform Asin data api 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 Asin data api MCP Agent with another framework

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

## Related Toolkits

- [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation.
- [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations.
- [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making.
- [Btcpay server](https://composio.dev/toolkits/btcpay_server) - BTCPay Server is a free, open-source, self-hosted Bitcoin payment processor. It lets merchants accept Bitcoin payments directly, cutting out middlemen and boosting privacy.
- [Cdr platform](https://composio.dev/toolkits/cdr_platform) - Cdr platform is an API for purchasing carbon dioxide removal services. It enables businesses to offset emissions by accessing verified carbon removal projects.
- [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement.
- [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows.
- [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. Streamline your communications and boost productivity with advanced sorting, labeling, and response tools.
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- [Fingertip](https://composio.dev/toolkits/fingertip) - Fingertip is a business management platform for selling, booking, and customer engagement—all from a single link. It helps businesses streamline operations and connect with customers across social channels.
- [Fraudlabs pro](https://composio.dev/toolkits/fraudlabs_pro) - FraudLabs Pro is an online payment fraud detection service for e-commerce and merchants. It helps minimize chargebacks and revenue loss by detecting and preventing fraudulent transactions.
- [Gift up](https://composio.dev/toolkits/gift_up) - Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers.
- [Goody](https://composio.dev/toolkits/goody) - Goody is a gifting platform that lets users send gifts and physical products without handling logistics. It streamlines gifting by managing delivery, fulfillment, and recipient experience.
- [Gumroad](https://composio.dev/toolkits/gumroad) - Gumroad is a platform for selling digital products, physical goods, and memberships with a simple checkout and marketing tools. It streamlines creator payouts and helps you grow your audience effortlessly.
- [Instacart](https://composio.dev/toolkits/instacart) - Instacart is an online grocery delivery and pickup service platform. It lets you discover local retailers and create shoppable lists and recipes with ease.
- [Junglescout](https://composio.dev/toolkits/junglescout) - Junglescout is an Amazon product research and analytics platform for sellers. It delivers sales estimates, competitive insights, and optimization tools to boost your Amazon business.
- [Ko fi](https://composio.dev/toolkits/ko_fi) - Ko-fi is a platform that lets creators receive donations, memberships, and sales from fans. It helps creators monetize their work and grow their audience with minimal friction.
- [Lemon squeezy](https://composio.dev/toolkits/lemon_squeezy) - Lemon Squeezy is a payments and subscription platform built for software companies. It makes managing payments, taxes, and customer subscriptions effortless.
- [Loyverse](https://composio.dev/toolkits/loyverse) - Loyverse is a point-of-sale (POS) platform for small businesses, offering tools for sales, inventory, and customer loyalty. It helps streamline retail operations and boost customer engagement.
- [Memberstack](https://composio.dev/toolkits/memberstack) - Memberstack lets you add user authentication, payments, and member management to your website—no backend code required. Easily manage your site's members and subscriptions from a single platform.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Asin data api MCP?

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

### Can I manage the permissions and scopes for Asin data api while using Tool Router?

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

---
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