How to Use the Pan Size Converter MCP in AutoGen

Let your AutoGen agents debate the right pan. Use Pan Size Converter to reach a consensus on volume and size.

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Connect Pan Size Converter MCP to AutoGen

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Setup Pan Size Converter with AutoGen

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Calculate volumes via agent debate

Your AutoGen swarm uses `calculate_volume` to verify pan capacities during a task. Agents discuss the results to ensure the math holds up before confirming. This prevents errors by having multiple agents check the volume of your pans. You get a consensus-driven answer every time.

Negotiate substitutions in AutoGen

Agents use `find_equivalent_pan` to negotiate the best replacement when you are missing the right size. They weigh the pros and cons of different shapes. You benefit from a decision reached through deliberation. It ensures the chosen pan is actually a suitable match for your specific recipe.

Validate geometry through multi-agent checks

Your agents trigger `validate_dimensions` to confirm that pan measurements are logical. One agent might propose a size while another verifies its physical plausibility. This MCP gives your agents the data they need to catch mistakes. You avoid the consequences of faulty dimensions in your baking plans.

Setup guide

Set up Pan Size Converter 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 Pan Size Converter 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="Pan Size Converter_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Pan Size Converter 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="Pan Size Converter_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Pan Size Converter 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 Pan Size Converter. 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 Pan Size Converter MCP in AutoGen

You pass the MCP tools to the AssistantAgent constructor. This allows your agents to debate and agree on the correct pan substitutions.

Yes, agents can share access to these tools to coordinate their efforts. They work together to calculate volumes and validate your pan sizes.

It provides objective, mathematical data that your agents can use for deliberation. It eliminates guessing when agents decide on the correct pan for a recipe.

The MCP processes only geometric dimensions. It does not track your personal activities or store sensitive information about your home.

Security is built into the tool's design by limiting operations to pure math. It never accesses or retains your personal files or private baking habits.

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