How to Use the InflatableOffice MCP in AutoGen

Let your agents debate rental logistics using the InflatableOffice MCP server and AutoGen framework.

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Connect InflatableOffice MCP to AutoGen

Create your Vinkius account to connect InflatableOffice 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 InflatableOffice with AutoGen

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Perplexity

Multi-agent lead processing in AutoGen

Assign an agent to call `create_new_lead` while another checks `list_customers` for existing accounts. The agents negotiate the best way to record the new inquiry. This prevents duplicate records from cluttering your system. The debate ensures that only complete and accurate data gets pushed to your CRM.

Operational debate in AutoGen

Use `list_rental_inventory` as a source of truth for your agents to argue over booking feasibility. One agent focuses on stock levels while another checks event conflicts. They reach a consensus on whether a booking can proceed. This collaborative logic avoids the pitfalls of single-agent decision making.

Schedule synchronization via AutoGen

Have your agents review `list_scheduled_events` to build a coherent delivery day. They can argue over route efficiency until they agree on the optimal schedule. This creates a balanced plan for your staff. You get a result that considers both logistical constraints and business goals.

Setup guide

Set up InflatableOffice 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 InflatableOffice 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="InflatableOffice_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use the mcp-ext package to initialize the server tools. You then inject these tools directly into your AssistantAgent constructor to enable communication.

Yes, the agents can share tool outputs. They will debate the availability data provided by the MCP server to arrive at a final booking decision.

The server supports both stdio and HTTP transports. This ensures the connection remains active while multiple agents deliberate over your rental data.

The McpToolAdapter handles schema conversion. If an agent hits a rate limit or error, the response is passed back to the conversational loop for resolution.

Access is governed by a singular endpoint token. No sensitive customer data is persisted on the server, ensuring your records remain within your secure environment.

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