How to Use the Placetel MCP in AutoGen

Q: How do AutoGen agents share Placetel tool outputs during a conversation?

When one agent calls a tool like listcalls, the raw MCP response is posted directly into the group chat context. Other agents in the session can immediately read this data to make their next decisions.

Build multi-agent AutoGen teams that debate and resolve Placetel routing issues and device configuration errors.

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Create your Vinkius account to connect Placetel to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Placetel with AutoGen

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Debate Placetel routing in AutoGen

The `list_groups` tool allows your performance agent to analyze call queue distribution while an MCP security agent reviews the access logs. When a routing issue occurs, these AutoGen agents debate whether to modify the group structure or adjust individual user profiles. This consensus-driven approach ensures that changes to your phone system are thoroughly analyzed before execution. The agents share data from `get_group` to confirm that any proposed routing changes won't leave critical queues unattended.

Resolve hardware conflicts with multi-agent teams

The `list_devices` tool gives your hardware agent a complete list of registered VoIP phones to compare against active SIP registrations. If a device goes offline, a diagnostic agent queries `get_sip_user` to check if the SIP credentials are still valid. Instead of a single model guessing the fix, the agents discuss the findings in a group chat. They cross-reference the device list with `list_users` to determine if the issue is a physical hardware failure or an unassigned account.

Audit call records using this MCP Server

The `list_call_detail_records` tool provides the raw data that your billing and compliance agents need to audit telecom spend. One agent scans the records for international calls, while another checks `list_numbers` to verify if those calls originated from authorized company lines. The conversation interface allows these agents to flag anomalies and present a unified report to the user. This team-based audit reduces errors by separating the data retrieval, analysis, and validation steps.

Setup guide

Set up Placetel 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 Placetel 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="Placetel_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

When one agent calls a tool like `list_calls`, the raw MCP response is posted directly into the group chat context. Other agents in the session can immediately read this data to make their next decisions.

Yes, you can set up a monitoring agent that repeatedly calls `list_calls` to check for active sessions. If it detects a long-running call, it can alert a supervisor agent to investigate.

The framework uses an adapter to map the MCP tool schemas directly into the format that your agents expect. This lets you register tools like `list_sip_users` without writing custom JSON schemas.

It uses the Streamable HTTP transport, which provides a fast and reliable connection between your multi-agent environment and the Vinkius platform.

No, all call logs, user details, and SIP configurations are processed inside a secure MCP isolate. Vinkius uses a zero-trust model where data is streamed directly to your AutoGen client and never written to persistent disk.

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