How to Use the Roast Calculator MCP in AutoGen

Enable multi-agent debate in AutoGen to verify roast calculations through competing perspectives.

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Connect Roast Calculator MCP to AutoGen

Create your Vinkius account to connect Roast Calculator 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 Roast Calculator with AutoGen

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Debate cooking times with multiple agents

Assign `calculate_cooking_duration` to a performance agent while a safety agent audits the input parameters. The agents argue until they reach a consensus on the safest, most accurate duration. This prevents errors caused by bad user input or extreme temperature settings. You get a result that has been vetted by competing viewpoints.

Negotiate carryover temperature targets

Use `estimate_carryover_impact` as a prompt for a team of agents to discuss the ideal pull temp. One agent pushes for culinary perfection, while another pushes for USDA compliance. They reach a middle ground that satisfies both. This ensures your roast isn't ruined by being either overdone or undercooked.

Resolve resting time disagreements

Deploy `calculate_rest_duration` within an agent conversation where agents challenge the recommended rest time based on the roast size. They converge on the optimal duration based on the weight and cut. This multi-agent process ensures the rest time is calculated correctly every time. It removes the guesswork from the final phase of your cook.

Setup guide

Set up Roast Calculator 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 Roast Calculator 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="Roast Calculator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Agents share the output of the tools and challenge each other's conclusions. By comparing the results of the Roast Calculator, they converge on a final decision that considers both safety and quality.

Absolutely. You can give the tool to specific agents, such as a chef agent or a safety inspector agent, to facilitate their debate.

By having multiple agents review the tool inputs and outputs, you create a layer of validation that catches errors in weight or temperature settings before they impact your kitchen.

Yes. The MCP adapter handles the communication, allowing you to use either stdio or HTTP transports to connect your agents to the tool.

The MCP handles only the necessary cooking variables. Your data is used strictly for the deliberation between agents and is not shared with any external parties.

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