How to integrate RedCircle API MCP with CrewAI

This guide walks you through connecting RedCircle API to CrewAI using the Composio tool router. By the end, you'll have a working RedCircle API agent that can search target for nintendo switch bundles, get reviews for dyson vacuums at target, list top-rated target products in electronics through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a RedCircle API account through Composio's RedCircle API MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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32 Tools

Introduction

This guide walks you through connecting RedCircle API to CrewAI using the Composio tool router. By the end, you'll have a working RedCircle API agent that can search target for nintendo switch bundles, get reviews for dyson vacuums at target, list top-rated target products in electronics through natural language commands.

This guide will help you understand how to give your CrewAI agent real control over a RedCircle API account through Composio's RedCircle API MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate RedCircle API with

TL;DR

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

The RedCircle 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 RedCircle API account. It provides structured and secure access so your agent can perform RedCircle API operations on your behalf.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A RedCircle API connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to RedCircle API via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

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
5

Import dependencies

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")
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 RedCircle API MCP URL
6

Create a Composio Tool Router session for RedCircle API

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["redcircle_api"])

url = session.mcp.url
What's happening:
  • You create a RedCircle API only session through Composio
  • Composio returns an MCP HTTP URL that exposes RedCircle API tools
7

Initialize the MCP Server

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,
    )
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.
8

Create a CLI Chatloop and define the Crew

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")
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.

Complete Code

Here's the complete code to get you started with RedCircle API and CrewAI:

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=["redcircle_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 RedCircle API through Composio's Tool Router. The agent can perform RedCircle 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
TOOLS

Supported Tools

Every RedCircle API action and event your agent gets out of the box.

Add Zipcodes

Tool to add zipcodes to your RedCircle API account for geolocation targeting.

Clear Collection Requests

Tool to remove all requests from a specified collection.

Create Collection

Tool to create a new collection for running up to 15,000 requests on a schedule.

Create Destination

Tool to create a new destination for uploading Collection Result Sets to cloud storage.

Create Requests

Tool to add up to 1,000 requests to an existing collection.

Delete Collection

Tool to remove a collection from the system by ID.

Delete Destination

Tool to remove a destination from your RedCircle API account.

Delete Request from Collection

Tool to remove an individual request from a collection.

Delete Requests In Bulk

Tool to delete multiple requests from a collection in bulk.

Delete Zipcodes

Tool to remove zipcodes from your RedCircle API account.

Get Account Information

Tool to retrieve account information, usage metrics, and platform status.

Get Collection

Tool to retrieve complete information about a specific collection.

Get Requests CSV Links

Tool to retrieve CSV download links for all requests in a collection.

Get Requests JSON Links

Tool to retrieve download links for all requests in a collection in JSON format.

Get Result Set CSV

Tool to retrieve a result set in CSV format with optional field filtering.

Get Result Set JSON

Tool to retrieve a result set in JSON format with download links.

Get Result Set JSON Lines

Tool to retrieve a result set in JSON Lines format with download links.

Get Target Product Data

Tool to retrieve Target data in real-time including search results, product information, reviews, or category listings.

List Categories

Tool to retrieve all top-level (root) categories or filter results using optional parameters.

List Collections

Tool to retrieve all collections configured on your RedCircle API account with filtering and pagination.

List Destinations

Tool to retrieve all destinations configured on your RedCircle API account with pagination and filtering.

List Error Logs

Tool to list all error logs on your RedCircle API account.

List Requests by Page

Tool to retrieve requests for a collection in paginated format.

List Result Sets

Tool to list all result sets for a collection.

List Zipcodes

Tool to retrieve all zipcodes associated with your account with optional filtering.

Resend Webhook

Tool to resend a previously configured webhook POST request for a result set.

Start Collection

Tool to initiate execution of a RedCircle API collection.

Stop All Collections

Tool to halt all currently active collections on your account.

Stop Collection

Tool to halt an active collection in queued or running state.

Update Collection

Tool to update an existing collection's configuration and settings.

Update Destination

Tool to modify an existing destination configuration on your RedCircle API account.

Update Request

Tool to modify a request within a collection.

FAQ

Frequently asked questions

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

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 RedCircle API tools.

Yes, absolutely. You can configure which RedCircle 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.

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 RedCircle API data and credentials are handled as safely as possible.

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