How to Use the Vonage MCP in AutoGen

Q: How does Vonage interact with AutoGen for messages?

The agents use tools like sendvibermessage or sendsms. The debate happens over which tool to call, ensuring the most appropriate messaging channel is selected.

Q: If I use Vonage with AutoGen, how do I manage verification?

Agents can handle the full cycle: initiating contact via startverification, validating the response using checkverificationcode, or cancelling it entirely.

Q: Can AutoGen use Vonage to check account status?

Yes, an agent can call getaccountbalance to retrieve the current credit balance. This financial data is crucial for agents making decisions about sending messages.

Multi-agent decision making with AutoGen and Vonage communications.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Vonage MCP to AutoGen

Create your Vinkius account to connect Vonage 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 Vonage with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate Communication Channels via MCP Server

Agents can argue over the best delivery method. One agent might suggest sending an SMS, calling `send_sms`, while another argues for a more direct approach using `send_whatsapp_message`. The consensus-driven workflow decides which tool is superior based on required speed or recipient preference.

Handle Identity Disputes with AutoGen

Need to verify a user's identity? Agents can collaborate: one initiates the process using `start_verification`, and another agent validates the input by calling `check_verification_code`. The debate continues until consensus is reached on whether or not verification was successful.

Manage Numbers During Multi-Agent Flow

If an agent needs to change communication endpoints, it calls `update_number_webhook`. This ensures that all subsequent agents and tools use the latest inbound callback URL. The MCP Server manages these critical networking details so your multi-agent system stays connected.

Setup guide

Set up Vonage 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 Vonage 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="Vonage_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Vonage 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="Vonage_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Vonage 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 Vonage. 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 Vonage 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 Vonage MCP in AutoGen

The agents use tools like `send_viber_message` or `send_sms`. The debate happens over *which* tool to call, ensuring the most appropriate messaging channel is selected.

The system handles SMS, WhatsApp, and Viber messages. It also manages virtual numbers through tools like `list_rented_numbers` and `get_country_pricing`.

Agents can handle the full cycle: initiating contact via `start_verification`, validating the response using `check_verification_code`, or cancelling it entirely.

Yes, an agent can call `get_account_balance` to retrieve the current credit balance. This financial data is crucial for agents making decisions about sending messages.

The server touches communication credentials, including sender names (alpha or number) and E.164 formatted phone numbers.

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