How to Use the Authkey MCP in AutoGen

Q: How do I handle Authkey API errors inside an AutoGen group chat?

If a tool like sendvoice fails, the error is returned to the active agent. The agent can explain the failure to the group chat, allowing a coordinator agent to decide whether to try a different channel.

Q: What is the best way to verify connection status before starting a chat session?

You can run checkauthkeystatus as an initialization step. If the connection is healthy, your agents can proceed with confidence that all messaging tools are ready for use.

Let AutoGen agents debate and coordinate user verification campaigns using Authkey messaging tools.

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Connect Authkey MCP to AutoGen

Create your Vinkius account to connect Authkey 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.

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Setup Authkey with AutoGen

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Multi-agent consensus for Authkey dispatch tasks

Build a multi-agent system where different agents handle different parts of your communication pipeline, starting with checking your budget using `check_balance`. One agent can draft the message and check the budget, while a security agent reviews the draft against compliance rules. Once both agents agree, the executor agent triggers `send_sms` or `send_email` to deliver the message. This multi-agent debate prevents accidental spamming and ensures budget compliance.

Secure verification workflows via AutoGen agents

Let your agents coordinate complex user verification tasks without human intervention by triggering `send_otp`. A user-facing agent can request a verification code through the MCP Server. When the user submits the code, a separate validation agent runs `verify_otp` to confirm authenticity. The two agents coordinate to grant access only after a successful verification signal is received.

Automated voice fallback coordination

When critical alerts must land, your agents can coordinate fallbacks dynamically by checking `get_sms_status`. If an agent detects a delivery failure, it can signal a voice agent to step in. The voice agent then calls `send_voice` to deliver the message as an audio call. This collaborative fallback loop ensures your most important notifications always find a way through.

Setup guide

Set up Authkey 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 Authkey 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="Authkey_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Authkey 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 Authkey. 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.

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Common questions about Authkey MCP in AutoGen

Use the McpToolAdapter to convert the MCP Server tools into the format AutoGen expects. You then pass this tool list directly into your AssistantAgent constructor during setup.

Yes, AutoGen allows agents to pass tasks. This MCP setup lets a finance agent run `check_balance` to verify funds, then hand off the task to a messaging agent to call `send_bulk_sms`.

If a tool like `send_voice` fails, the error is returned to the active agent. The agent can explain the failure to the group chat, allowing a coordinator agent to decide whether to try a different channel.

You can run `check_authkey_status` as an initialization step. If the connection is healthy, your agents can proceed with confidence that all messaging tools are ready for use.

No. Voice call requests, OTP payloads, and phone numbers are processed entirely in memory. Our ephemeral MCP sandbox handles the API handshake with Authkey and immediately discards the data, leaving no trace on our systems.

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