How to Use the Robin MCP in AutoGen

Q: How do I register Robin tools in an AutoGen agent?

Install autogen-extmcp and use the mcpservertools helper with your server URL. Pass the generated tools list directly to your AssistantAgent constructor to enable office management.

Q: Can AutoGen agents resolve desk booking conflicts using Robin?

Yes, one agent can list available desks using listdesks while another checks employee schedules. They negotiate the best desk assignments and call reservedesk to secure the spots.

Coordinate office desk allocation through multi-agent debate using AutoGen and Robin.

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

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Negotiate room bookings through multi-agent debate

The `get_free_busy` tool lets your scheduling agent check room availability blocks across multiple spaces simultaneously. If two teams want the same room, a negotiation agent reviews the results and decides which team gets the space. Once the agents reach a consensus, the booking agent calls `book_space` to finalize the reservation. This resolves scheduling conflicts autonomously without needing human intervention to referee room disputes.

Manage desk allocations with an AutoGen agent

The `list_desks` tool provides a complete list of hot desks and assigned seats for your agents to evaluate. An allocation agent checks this list against team attendance plans to distribute seating assignments fairly. When an employee cancels their office day, the agent triggers `cancel_desk_reservation` to release the seat. This dynamic reallocation maximizes office utility while keeping manual overhead to a minimum.

Coordinate multi-office events via MCP Server tools

The `list_locations` tool retrieves all office locations so your agents can plan regional events. A logistics agent queries `list_spaces` to find rooms with the right capacity at the chosen location. By calling `get_space`, the agent verifies room details like AV setup and seating capacity before booking. This guarantees that your regional meetings are scheduled in rooms that actually fit your event requirements.

Setup guide

Set up Robin 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 Robin 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="Robin_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Robin 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 Robin Workspace API. 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 Robin MCP in AutoGen

Install `autogen-ext[mcp]` and use the `mcp_server_tools` helper with your server URL. Pass the generated tools list directly to your `AssistantAgent` constructor to enable office management.

Yes, one agent can list available desks using `list_desks` while another checks employee schedules. They negotiate the best desk assignments and call `reserve_desk` to secure the spots.

The server handles communication with the Robin API efficiently, while the Vinkius platform manages authentication. Your agents receive standard error codes if limits are hit, allowing them to retry safely.

Yes, AutoGen supports loading tools from multiple sources. You can combine office booking tools with your internal HR database tools to automate onboarding desk assignments.

All location details and floor plans are processed locally in an ephemeral sandbox. Vinkius secures the connection token, ensuring your physical office layouts and room schedules are never exposed to public networks.

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