How to Use the 1msg.io MCP in AutoGen

Q: How do multiple AutoGen agents coordinate to use 1msg.io tools?

You provide the 1msg.io tools to an AssistantAgent or UserProxyAgent. The agents then discuss and decide which agent should call a specific tool, like sendmessage, based on the ongoing conversation and their defined roles.

Q: What's the process for giving an AutoGen agent access to 1msg.io?

After installing autogen-extmcp, you use the mcpservertools function with your Vinkius server URL. This returns a list of tools that you pass directly to your agent's constructor. AutoGen handles the rest.

Let AI agents debate and manage your WhatsApp Business account. Build AutoGen teams to automate 1msg.io tasks through conversation.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect 1msg.io MCP to AutoGen

Create your Vinkius account to connect 1msg.io to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup 1msg.io with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build Agent Teams That Collaborate

With AutoGen, you create conversations between specialized agents. Imagine a `MarketingAgent` wants to send a promo with `send_message`. A `ComplianceAgent` can intervene, check the message, and suggest using a pre-approved template instead by calling `list_templates`. They reach a consensus before any action is taken. This multi-agent approach prevents mistakes and ensures your WhatsApp communication follows your rules, all automated through the 1msg.io MCP server.

Automate Operations with a Digital Crew

Set up an operations team of agents. A `MonitorAgent` can call `get_status` every five minutes. If the connection drops, it alerts a `DiagnosticsAgent`, which then uses `list_messages` to review the last known communications for any error patterns. This is how your AutoGen agents can use these MCP tools to not only perform tasks but also to self-manage the system. They work together to identify and diagnose problems before a human needs to get involved.

Build Agent Teams with this MCP Server

This MCP Server gives your AutoGen agents the specific functions they need to manage a WhatsApp Business account. One agent can be the `ContentWriter`, another the `FileSpecialist`, and a third the `DeliveryAgent` that actually calls `send_message` or `send_file`. AutoGen's framework lets you define these roles clearly. The `McpToolAdapter` handles the tool definitions automatically, so you can focus on designing the agent conversations and workflows. It's about dividing labor among agents to get a job done right.

Setup guide

Set up 1msg.io MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes 1msg.io tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="1msg.io_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent 1msg.io data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="1msg.io_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent 1msg.io data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 1msg.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect 1msg.io now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about 1msg.io MCP in AutoGen

You provide the 1msg.io tools to an `AssistantAgent` or `UserProxyAgent`. The agents then discuss and decide which agent should call a specific tool, like `send_message`, based on the ongoing conversation and their defined roles.

Yes, that's a perfect use case. You can create an agent whose sole job is to periodically call the `get_status` tool. If the status is anything other than 'connected', it can start a new conversation with another agent to trigger an alert.

After installing `autogen-ext[mcp]`, you use the `mcp_server_tools` function with your Vinkius server URL. This returns a list of tools that you pass directly to your agent's constructor. AutoGen handles the rest.

Yes, this is a core strength of AutoGen. You can have two agents debate the best approach. One might propose a plain message, while a second agent checks `list_templates` and argues for using an official template for consistency.

The server only gets the data needed for the tool being called, like a recipient phone number for `send_message`. Each request runs in a secure, stateless sandbox on Vinkius. No message content or personal data is ever logged or stored by the MCP server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript