# How to integrate Adrapid MCP with Autogen

```json
{
  "title": "How to integrate Adrapid MCP with Autogen",
  "toolkit": "Adrapid",
  "toolkit_slug": "adrapid",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/adrapid/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/adrapid/framework/autogen.md",
  "updated_at": "2026-05-06T07:59:18.582Z"
}
```

## Introduction

This guide walks you through connecting Adrapid to AutoGen 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 AutoGen 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

- [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)
- [Claude Code](https://composio.dev/toolkits/adrapid/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/adrapid/framework/claude-cowork)
- [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)
- [CLI](https://composio.dev/toolkits/adrapid/framework/cli)
- [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)
- [CrewAI](https://composio.dev/toolkits/adrapid/framework/crew-ai)

## 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 Adrapid
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Adrapid tools
- Run a live chat loop where you ask the agent to perform Adrapid 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 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 Adrapid digital marketing assets, so your agent can perform actions like retrieving account info, listing banners, and auditing creative assets on your behalf.
- API and account insights: Instantly retrieve up-to-date information about your Adrapid API version and user account for quick troubleshooting or integration checks.
- Automated banner auditing: Have your agent list all existing banners, including their statuses, so you can quickly monitor campaign progress and spot assets ready for launch.
- Filter banners by status: Ask the agent to fetch only banners that meet specific criteria, like those marked 'ready', making campaign tracking simpler and faster.
- Centralized creative asset reporting: Pull a complete overview of all your digital ad visuals in one place, streamlining management and reviews for your team or stakeholders.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ADRAPID_GET_API_INFO` | Get API info | Tool to retrieve api root information. use when you need to discover the api's description and version details. |
| `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 agents and assistants directly to Adrapid. Instead of manually wiring Adrapid APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Adrapid account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Adrapid via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

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 Adrapid connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Adrapid tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```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 Adrapid session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["adrapid"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

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
```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")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Adrapid tools from the workbench
```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 Adrapid assistant agent with MCP tools
    agent = AssistantAgent(
        name="adrapid_assistant",
        description="An AI assistant that helps with Adrapid operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Adrapid 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
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Adrapid 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")
```

## Complete Code

```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 Adrapid session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["adrapid"]
    )
    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 Adrapid assistant agent with MCP tools
        agent = AssistantAgent(
            name="adrapid_assistant",
            description="An AI assistant that helps with Adrapid 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 Adrapid 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 Adrapid 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 Adrapid, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Adrapid MCP Agent with another framework

- [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)
- [Claude Code](https://composio.dev/toolkits/adrapid/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/adrapid/framework/claude-cowork)
- [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)
- [CLI](https://composio.dev/toolkits/adrapid/framework/cli)
- [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)
- [CrewAI](https://composio.dev/toolkits/adrapid/framework/crew-ai)

## Related Toolkits

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- [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.
- [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.
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- [Segmetrics](https://composio.dev/toolkits/segmetrics) - Segmetrics is a marketing analytics platform that reveals detailed insights into your customer journeys. It helps businesses optimize marketing strategies with accurate, actionable reporting.
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- [Sendloop](https://composio.dev/toolkits/sendloop) - Sendloop is an all-in-one email marketing platform built for SaaS, e-commerce, and small businesses. It makes it easy to send campaigns, manage lists, and track results—all in one place.
- [Sidetracker](https://composio.dev/toolkits/sidetracker) - Sidetracker is a marketing analytics platform that tracks expenses, sales funnels, and customer journeys. It helps optimize marketing spend and visualize campaign performance from start to finish.
- [Stannp](https://composio.dev/toolkits/stannp) - Stannp is an API-driven direct mail platform for sending postcards and letters programmatically. It lets you automate physical mail delivery—no manual printing or mailing required.
- [Tapfiliate](https://composio.dev/toolkits/tapfiliate) - Tapfiliate is an affiliate and referral tracking platform for businesses. It helps companies efficiently manage, track, and grow their affiliate programs.
- [Tpscheck](https://composio.dev/toolkits/tpscheck) - Tpscheck is a real-time service for verifying UK phone numbers against TPS and CTPS registers. It helps prevent unwanted marketing calls and ensures compliance with UK telemarketing laws.
- [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.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [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.
- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.

## 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 Autogen?

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 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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