How to Use the Universal Unit Converter MCP in AutoGen

Q: How many conversion tools are available via the Universal Unit Converter in AutoGen?

It supports four core tool categories: digital storage (convertdigitalstorage), length (convertlength), temperature (converttemperature), and weight (convertweight). Any combination can be used to drive agent conversation.

Get consensus decisions from AutoGen agents using the Universal Unit Converter MCP Server.

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Connect Universal Unit Converter MCP to AutoGen

Create your Vinkius account to connect Universal Unit Converter 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 Universal Unit Converter with AutoGen

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Let agents debate measurements

When using AutoGen, you can set up a negotiation where one agent uses `convert_weight` to calculate mass. A second 'security' agent then challenges that result by running the same conversion through the MCP Server for verification. This consensus-driven approach ensures that critical decisions aren't based on single tool calls but are verified across multiple perspectives using standardized metric conversions.

MCP Server for structured deliberation

The `convert_digital_storage` tool allows different agents to argue over file sizes. One agent might estimate a size, and another uses the MCP Server's precise calculation to challenge that guess. The final decision is based on objective data. This level of rigor is crucial when you need multiple AI agents—like a planning agent and an auditing agent—to agree on a quantitative metric.

Use conversions in multi-agent workflows

Agents can use `convert_temperature` to compare required environmental conditions. A performance agent might push for Kelvin, while a safety agent insists on Celsius, forcing the system to converge on one definitive value using the MCP Server. This guarantees that all agents are working from the same verified set of physical facts.

Setup guide

Set up Universal Unit 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 Universal Unit 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="Universal Unit Converter_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Universal Unit Converter 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 unit-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 Universal Unit Converter MCP in AutoGen

AutoGen uses the Universal Unit Converter when multiple agents need to agree on a measurement. For instance, if one agent calculates length in feet and another needs miles, they both run the conversion through the MCP Server until consensus is reached.

Yes. By passing the tools list to the AssistantAgent constructor, you enable agents to call `convert_length`, `convert_weight`, and other tools during their deliberation process. The MCP Server handles schema conversion automatically.

The server touches physical measurements and digital storage units. This includes weights, lengths, temperatures, and binary storage sizes, providing objective data points for agent debate.

It's perfect because it adds an external layer of verifiable truth to multi-agent conversations. When agents debate a technical point, they can always verify the metric using this MCP Server.

It supports four core tool categories: digital storage (`convert_digital_storage`), length (`convert_length`), temperature (`convert_temperature`), and weight (`convert_weight`). Any combination can be used to drive agent conversation.

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