How to Use the Unit & FX Calculator MCP in AutoGen

Q: What data types can AutoGen get from Unit & FX Calculator?

You'll retrieve precise physical measurements (via convertunit) and actionable currency rates (via getrate). The tool outputs are numerical facts used to guide the agents toward a definitive answer.

Negotiating Decisions: Use Unit & FX Calculator with AutoGen for consensus-driven accuracy in multi-agent systems.

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Connect Unit & FX Calculator MCP to AutoGen

Create your Vinkius account to connect Unit & FX Calculator 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 Unit & FX Calculator with AutoGen

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Evidence for Agents using MCP Server

When agents debate a conclusion, the `get_rate` tool provides objective evidence. One agent might argue based on an old rate, but another calls this tool and introduces the current exchange rate as fact. This forces the group to converge on the most accurate number available. The final decision is backed by the live data retrieved from the MCP Server.

Unit Verification in AutoGen

A performance agent can flag an inconsistency: 'Wait, this calculation mixes imperial and metric units.' The security agent then calls `convert_unit` or `batch_convert` to resolve the discrepancy. The agents debate until they agree on the correct unit standard based on the tool's output.

Structured Data Input for AutoGen

The `batch_convert` tool accepts structured inputs—a list of values and units. This allows a system needing multiple conversions to pass all parameters in one go. The agents use this single, reliable output rather than managing several separate calls, keeping the conversation focused on resolution.

Setup guide

Set up Unit & FX 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 Unit & FX 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="Unit & FX Calculator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Unit & FX Calculator data")
    print(result.messages[-1].content)

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Common questions about Unit & FX Calculator MCP in AutoGen

It integrates the tool as a source of objective facts. When agents argue about a measurement or currency value, they call the relevant MCP Server tool to get a definitive number that must be incorporated into their final consensus.

Yes. The debate itself becomes the multi-step process. Agent A calculates an initial rate, and Agent B uses that result to calculate a final total using `batch_convert`, refining the original answer.

You'll retrieve precise physical measurements (via `convert_unit`) and actionable currency rates (via `get_rate`). The tool outputs are numerical facts used to guide the agents toward a definitive answer.

Absolutely. It handles all of it. You use the physical conversion tools for length or speed, and you call `get_rate` when money needs to be factored into the discussion.

This server touches Physical Measurements and Currency Data. Since agents use these outputs for decision-making, you must ensure that any inputs passed to `get_rate` or `batch_convert` are handled securely across all participating agent nodes.

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