How to integrate RedCircle API MCP with Autogen

This guide walks you through connecting RedCircle API to AutoGen 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 AutoGen 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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Introduction

This guide walks you through connecting RedCircle API to AutoGen 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 AutoGen 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

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for RedCircle API
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call RedCircle API tools
  • Run a live chat loop where you ask the agent to perform RedCircle API operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A RedCircle API account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to RedCircle API via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's RedCircle API connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a RedCircle API session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["redcircle_api"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes RedCircle API tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create RedCircle API assistant agent with MCP tools
    agent = AssistantAgent(
        name="redcircle_api_assistant",
        description="An AI assistant that helps with RedCircle API operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the RedCircle API tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any RedCircle API related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which RedCircle API tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a RedCircle API session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["redcircle_api"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create RedCircle API assistant agent with MCP tools
        agent = AssistantAgent(
            name="redcircle_api_assistant",
            description="An AI assistant that helps with RedCircle API operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any RedCircle API related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into RedCircle API through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for RedCircle API, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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.

FRAMEWORKS

How to build RedCircle API MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use RedCircle API MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use RedCircle API MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use RedCircle API MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use RedCircle API MCP with Claude Cowork

Codex logo

Codex

Use RedCircle API MCP with Codex

OpenClaw logo

OpenClaw

Use RedCircle API MCP with OpenClaw

Hermes logo

Hermes

Use RedCircle API MCP with Hermes

CLI logo

CLI

Use RedCircle API MCP with CLI

Google ADK logo

Google ADK

Use RedCircle API MCP with Google ADK

LangChain logo

LangChain

Use RedCircle API MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use RedCircle API MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use RedCircle API MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use RedCircle API MCP with LlamaIndex

CrewAI logo

CrewAI

Use RedCircle API MCP with CrewAI

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. Autogen 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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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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Co-founder, Opennote

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As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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