How to Use the Telebroad MCP in AutoGen

Q: Can AutoGen use multiple Telebroad tools in a discussion?

Yes. You can mandate that one agent gathers data using listcallhistory while another uses getprofile, forcing them to reconcile the two pieces of information.

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Setup Telebroad with AutoGen

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Perplexity

Debated Call Scheduling

Agents can debate the best action before executing it. For example, one agent might check `list_phone_destinations` to find an extension, while a second debates whether a call is necessary or if sending an SMS via `send_sms` would be faster. The system converges on the final tool call only after multiple perspectives have challenged and refined the plan.

Risk Assessment for Communication

You can set up specialized agents to review communication before it happens. One agent might analyze `get_sms_messages` content for compliance, while another determines if a voice call via `send_call` is legally required. The discussion forces the decision-making process to account for multiple business constraints.

Structured Workflow Validation

AutoGen allows you to validate complex processes. You can mandate that an agent must first check `list_active_calls` and then, if clear, use `send_fax`. The debate ensures both steps are executed in the correct, agreed-upon order. This prevents single points of failure by requiring consensus on the operational sequence.

Setup guide

Set up Telebroad 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 Telebroad 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="Telebroad_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Telebroad. 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 Telebroad MCP in AutoGen

AutoGen doesn't just execute tools; it uses them as evidence for debate. The agents discuss the inputs and outputs from the MCP Server to reach a final, reasoned conclusion.

Yes. You can mandate that one agent gathers data using `list_call_history` while another uses `get_profile`, forcing them to reconcile the two pieces of information.

The agents debate around communication records, specifically details found in `list_call_history`. The system ensures that any action taken respects the context provided by this structured log data.

It moves beyond simple automation. It improves decision quality. Instead of a single script running, you get a deliberation process that validates the best path forward using available tools.

Start by defining clear opposing viewpoints for your agents (e.g., 'Security' vs. 'Speed'). Have them debate the use of `send_sms` versus a voice call to see which outcome they converge on.

Use it with your favorite AI tools

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

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