How to Use the Termii MCP in AutoGen

Q: How does Termii fit into an AutoGen debate?

The termii-mcp server provides the objective tools—like sending messages or checking balances—that the agents must discuss. They argue over which tool call best satisfies the system's goal.

Designing consensus-driven communication systems with AutoGen and Termii MCP Server.

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Connect Termii MCP to AutoGen

Create your Vinkius account to connect Termii 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 Termii with AutoGen

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Perplexity

Agent Debate on Communication Strategy

Use the `send_sms` tool as a starting point for debate. One agent might argue, 'We should use WhatsApp because it's richer,' while another argues, 'No, we must prioritize reliability and use SMS.' The MCP Server provides the concrete tools that the agents negotiate over, forcing them to converge on the most effective messaging channel.

Multi-Agent Tool Orchestration

The AutoGen framework lets you set up multiple roles. A 'Security Agent' can use `list_sender_ids` to check credentials, while a 'Finance Agent' uses `check_balance`. They debate which sender ID is appropriate for the message. This consensus-driven approach ensures that every communication step is vetted by competing perspectives.

Automated Messaging Failover

You can design agents to handle failure. If an agent attempts `send_whatsapp` and it fails, a 'Fallback Agent' steps in, reviews the error, and autonomously calls `send_sms` instead. The MCP Server provides the distinct tools needed for this failover logic, making communication robust even when channels break.

Setup guide

Set up Termii 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 Termii 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="Termii_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Termii_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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Common questions about Termii MCP in AutoGen

The `termii-mcp` server provides the objective tools—like sending messages or checking balances—that the agents must discuss. They argue over which tool call best satisfies the system's goal.

Yes, that’s what it’s for. The framework allows multiple specialized agents to debate using the distinct `send_sms` and `send_whatsapp` tools until a consensus on delivery is reached.

The system interacts with user authentication (OTP), account status, and sender ID lists. These are the critical pieces of information agents must debate over before sending anything.

It's ideal. The framework is built to handle ambiguity, and the MCP Server gives your agents the necessary tools (SMS/WA) to resolve that ambiguity through discussion.

The agents are designed to notice failure. They debate potential fixes, leading one agent to call an alternative tool—like switching from WhatsApp to SMS—to guarantee delivery.

Use it with your favorite AI tools

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

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