How to Use the Bandwidth MCP in AutoGen

Enable debate-driven messaging workflows in AutoGen by connecting your agents to the Bandwidth MCP Server.

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Connect Bandwidth MCP to AutoGen

Create your Vinkius account to connect Bandwidth 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 Bandwidth with AutoGen

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Perplexity

Debate messaging strategy with Bandwidth tools

Assign one agent to analyze `list_campaigns` data while another critiques the messaging performance. They debate the best approach before using `send_sms` to execute the final decision. This consensus-driven model ensures your communications are reviewed by multiple agents. You get higher quality output because your agents challenge each other's assumptions based on real data.

Automate Bandwidth tasks with multi-agent consensus

Use `send_mms` or `delete_media` within a group chat of agents. One agent proposes a cleanup task, and another checks the media logs using `list_media` to verify the request. Agents negotiate the action. If the security agent flags a risk in an MMS payload, the execution agent holds off until the concern is addressed.

Manage Bandwidth health via AutoGen

The `get_health` tool acts as a heartbeat for your agent team. If the API shows high latency, your agents adjust their messaging cadence in real time. They coordinate their workload based on the current state of the infrastructure. This prevents you from overloading your messaging limits while maintaining active communication flows.

Setup guide

Set up Bandwidth 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 Bandwidth 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="Bandwidth_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

They pass tool outputs back and forth in the conversation history. One agent calls a tool, and the other interprets the result to influence the next step.

Agents can be programmed to check health status before sending. You avoid rate limits by having agents coordinate their messaging timing.

Your API tokens stay inside the secure Vinkius sandbox. Agents only see the data you explicitly permit them to retrieve through tool calls.

Yes. The shared conversation state ensures all agents have the same view of your messaging logs and campaign data.

All communication logs and media assets are scoped to the agent group. Only authorized agents can trigger actions that modify your account settings.

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