How to Use the AvoSMS MCP in AutoGen

Q: How do I equip AutoGen agents with AvoSMS?

Install autogen-extmcp. Pass your Vinkius HTTP endpoint to mcpservertools and hand that list to your AssistantAgent.

Q: Can multiple AutoGen agents share AvoSMS tools?

Yes. You give createsender to an admin agent and sendsms to a worker agent. They collaborate to execute complex messaging workflows.

Q: How does AutoGen know my AvoSMS balance?

The agent calls getbalance during the conversation. It reads the numeric response from the MCP Server and adjusts its sending strategy based on available funds.

Give your AutoGen agents the ability to debate, approve, and send SMS campaigns.

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Create your Vinkius account to connect AvoSMS 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 AvoSMS with AutoGen

Ask AI about this MCP

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Perplexity

AutoGen Campaign Debates

`send_sms` requires consensus when you build a multi-agent setup. A copywriter agent drafts the text message, but a compliance bot reviews it before anyone touches the API. They argue over character limits and tone until they agree. This negotiation prevents expensive mistakes. The system refuses to fire off a mass text until all participating agents sign off on the final copy.

AvoSMS MCP Server Resource Checks

`get_balance` gives your financial agent veto power. Before the marketing agent triggers a massive blast through the MCP Server, the finance bot checks the remaining credits. If the cost exceeds the budget, it halts the operation. The same logic applies to identities. A security agent runs `list_senders` to ensure the proposed caller ID is actually approved. You stop rogue messages before they leave your network.

Collaborative List Management

`create_list` and `add_contact` let your agents build audience segments together. A data-mining bot finds phone numbers, while a privacy agent scrubs them against opt-out registries. Only the clean numbers make it to the API. Cleanup is a shared responsibility. Once a promotion ends, a maintenance agent proposes running `delete_list`. The team confirms the campaign is over and executes the teardown.

Setup guide

Set up AvoSMS 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 AvoSMS 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="AvoSMS_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install `autogen-ext[mcp]`. Pass your Vinkius HTTP endpoint to `mcp_server_tools` and hand that list to your `AssistantAgent`.

Yes. You give `create_sender` to an admin agent and `send_sms` to a worker agent. They collaborate to execute complex messaging workflows.

The agent calls `get_balance` during the conversation. It reads the numeric response from the MCP Server and adjusts its sending strategy based on available funds.

You decide. You configure AutoGen to require human-in-the-loop confirmation before any agent is allowed to execute the `send_sms` MCP tool.

Vinkius isolates every single MCP Server request. Contact lists, sender names, and message histories pass through a stateless V8 sandbox and disappear instantly after execution.

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