How to Use the AI Receptionist MCP in AutoGen

Debate customer inquiries by connecting your AI Receptionist to AutoGen agents for multi-perspective decision making.

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Connect AI Receptionist MCP to AutoGen

Create your Vinkius account to connect AI Receptionist 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 AI Receptionist with AutoGen

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Perplexity

Debate bookings with AutoGen

Assign one agent to `create_aireceptionist_booking` and another to check calendar conflicts. They negotiate the best time slot before confirming. This prevents scheduling errors. The agents challenge each other's assumptions until they agree on a slot that fits your business constraints.

Analyze calls with multiple agents

One agent calls `list_aireceptionist_conversations` while another summarizes the tone. They discuss the findings to improve your script. This multi-agent approach catches nuances in customer sentiment. A single agent might miss the frustration in a transcript, but a debating pair will flag it.

Monitor webhooks via AutoGen

Use `list_aireceptionist_webhooks` to let an agent track incoming events. It flags any failed notifications to your team for immediate review. Your agents act as a watchdog for your system. They ensure that every customer inquiry gets a response by monitoring the webhook status in real time.

Setup guide

Set up AI Receptionist 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 AI Receptionist 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="AI Receptionist_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent AI Receptionist 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 AI Receptionist. 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.

Why Choose Vinkius

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Common questions about AI Receptionist MCP in AutoGen

You pass the tool list to the AssistantAgent. The agents then decide which one of them is best suited to call the function.

Yes, you can configure one agent to suggest a booking and another to validate it against analytics. They will negotiate until the booking is confirmed.

The server uses a zero-trust architecture. Only the authorized agents in your AutoGen group get access to your call logs and records.

You just need the MCP adapter. It automatically maps the server functions into agent-readable tools, so the agents know exactly how to call them.

The agents report the error to each other. One agent can catch the failure and trigger a retry or alert you to the issue.

Use it with your favorite AI tools

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

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