# How to integrate Proxiedmail MCP with Autogen

```json
{
  "title": "How to integrate Proxiedmail MCP with Autogen",
  "toolkit": "Proxiedmail",
  "toolkit_slug": "proxiedmail",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/proxiedmail/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/proxiedmail/framework/autogen.md",
  "updated_at": "2026-05-06T08:24:54.322Z"
}
```

## Introduction

This guide walks you through connecting Proxiedmail to AutoGen using the Composio tool router. By the end, you'll have a working Proxiedmail agent that can list all your current proxy email addresses, create a webhook to receive new emails, update a proxy binding to forward to a new address through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Proxiedmail account through Composio's Proxiedmail MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Proxiedmail with

- [ChatGPT](https://composio.dev/toolkits/proxiedmail/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/proxiedmail/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/proxiedmail/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/proxiedmail/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/proxiedmail/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/proxiedmail/framework/codex)
- [Cursor](https://composio.dev/toolkits/proxiedmail/framework/cursor)
- [VS Code](https://composio.dev/toolkits/proxiedmail/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/proxiedmail/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/proxiedmail/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/proxiedmail/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/proxiedmail/framework/cli)
- [Google ADK](https://composio.dev/toolkits/proxiedmail/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/proxiedmail/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/proxiedmail/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/proxiedmail/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/proxiedmail/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/proxiedmail/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 Proxiedmail
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Proxiedmail tools
- Run a live chat loop where you ask the agent to perform Proxiedmail 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 Proxiedmail MCP server, and what's possible with it?

The Proxiedmail MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Proxiedmail account. It provides structured and secure access to your privacy-focused email services, so your agent can create proxy email addresses, manage bindings, receive emails via webhooks, and update proxy settings automatically.
- Create unique webhook receivers: Instantly set up custom webhook endpoints for capturing incoming emails through Proxiedmail, making it easy for your agent to receive messages securely.
- Fetch and manage proxy bindings: Ask your agent to retrieve a list of all your active proxy email bindings, helping you monitor and organize your privacy-layered inboxes.
- Update proxy binding settings: Let your agent modify existing proxy bindings, such as updating forwarding addresses or tweaking configuration details as your needs change.
- Seamless API token management: Have your agent securely obtain and refresh Proxiedmail API tokens for seamless, uninterrupted access to your account and services.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PROXIEDMAIL_CREATE_WEBHOOK_RECEIVER` | Create webhook receiver | Tool to create a webhook receiver for incoming email callbacks. use when you need a unique endpoint to capture proxiedmail webhook events. |
| `PROXIEDMAIL_GET_API_TOKEN` | Get API Token | Tool to retrieve a permanent api token. use after obtaining a bearer token from the auth endpoint (post /api/v1/auth). |
| `PROXIEDMAIL_LIST_PROXY_BINDINGS` | List proxy bindings | Tool to fetch a list of proxy bindings. use after authentication to list all proxy bindings associated with the user. |
| `PROXIEDMAIL_UPDATE_PROXY_BINDING` | Update Proxy Binding | Tool to update an existing proxy binding. use after obtaining the binding id to modify its addresses or settings. |

## Supported Triggers

None listed.

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

The Proxiedmail MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Proxiedmail. Instead of manually wiring Proxiedmail 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 Proxiedmail 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 Proxiedmail 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 Proxiedmail 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 Proxiedmail 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 Proxiedmail session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["proxiedmail"]
    )
    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 Proxiedmail 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 Proxiedmail assistant agent with MCP tools
    agent = AssistantAgent(
        name="proxiedmail_assistant",
        description="An AI assistant that helps with Proxiedmail 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 Proxiedmail 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 Proxiedmail 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 Proxiedmail session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["proxiedmail"]
    )
    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 Proxiedmail assistant agent with MCP tools
        agent = AssistantAgent(
            name="proxiedmail_assistant",
            description="An AI assistant that helps with Proxiedmail 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 Proxiedmail 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 Proxiedmail 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 Proxiedmail, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Proxiedmail MCP Agent with another framework

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

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- [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows.
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- [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale.
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- [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code.
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## Frequently Asked Questions

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

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

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

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

---
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