How to Use the Aircall MCP in AutoGen

Q: How do I register Aircall MCP tools with AutoGen agents?

Use the mcpservertools helper with your server URL to fetch the tools. You then pass this list directly to your AssistantAgent constructor to give it access to call data.

Q: Can multiple AutoGen agents use Aircall tools simultaneously?

Yes, you can assign tools like listnumbers to different agents in your group chat. They will share access and discuss the phone configuration data during their conversation.

Deploy AutoGen agent teams that debate and coordinate Aircall phone operations and live routing tasks.

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Connect Aircall MCP to AutoGen

Create your Vinkius account to connect Aircall 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 Aircall with AutoGen

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Multi-Agent Consensus on Aircall Routing

The `list_users` and `get_user_details` tools give your AutoGen agents the live status of your phone support team. One agent drafts a routing plan while another checks live availability to confirm the assignment. This collaborative debate prevents routing calls to busy or offline team members. The agents negotiate the best path forward based on real-time team metrics before executing the transfer.

Structured Contact Creation via AutoGen MCP Server Teams

The `create_contact` and `search_contacts` tools let your AutoGen agents manage your customer directory through peer-reviewed actions. A writer agent drafts the new contact profile, and a quality agent verifies the phone format before committing the record. This multi-agent verification keeps your CRM clean. You avoid duplicate entries because the agents cross-reference existing records before running any write tools.

Automated Call Auditing and Team Analysis

The `get_call_details` and `list_calls` tools allow your agents to audit communication performance. This MCP Server integration allows your agents to pull technical call metrics while a supervisor agent evaluates team performance against those metrics. They debate performance trends and write summary reports based on actual call logs. This turns raw call metrics into verified operational insights without human intervention.

Setup guide

Set up Aircall 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 Aircall 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="Aircall_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use the mcp_server_tools helper with your server URL to fetch the tools. You then pass this list directly to your AssistantAgent constructor to give it access to call data.

Yes, you can assign tools like list_numbers to different agents in your group chat. They will share access and discuss the phone configuration data during their conversation.

The agents run a debate loop where they verify existing data using search_contacts before letting the writing agent call create_contact to prevent overwrites.

The integration uses the Streamable HTTP transport via StreamableHttpServerParams to securely stream tool execution data between your agents and the phone server.

Yes, all team availability states and user details are fetched on demand. This MCP Server uses zero-trust architecture, ensuring credentials and agent status logs never touch persistent storage.

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