How to Use the Culinary Unit Converter MCP in OpenAI Agents SDK

Equip your OpenAI Agents SDK with precise recipe scaling and ingredient mass estimates that run safely inside your production guardrails.

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Connect Culinary Unit Converter MCP to OpenAI Agents SDK

Create your Vinkius account to connect Culinary Unit Converter to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Culinary Unit Converter with OpenAI Agents SDK

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Safe volume conversions via OpenAI Agents SDK

By calling `convert_volume`, your production agents can handle chaotic kitchen measurements without breaking your system. Your agent translates cups to milliliters instantly, keeping your recipe databases consistent and clean. This tool runs directly inside your agent workflows, letting your system handle user requests for scaling recipes up or down. The OpenAI dashboard tracks every single conversion call, so you can monitor accuracy in real time.

Predict ingredient weights with this MCP Server

When a user asks for flour in grams, your agent triggers `estimate_mass` to calculate the physical weight based on standard ingredient densities. Baking requires weight, but home cooks write in volume, so this bridge is crucial. The SDK lets you set strict safety guardrails around this calculation, preventing your agent from outputting ridiculous numbers. You get reliable weight estimates without risking a ruined loaf of sourdough.

Resolve obscure kitchen units instantly

This MCP lets your system fetch metadata and regional context using `get_unit_details` so your agent can explain odd measurements to confused users. Not every cook knows what a dessertspoon or a gill is. Your system can route recipe text to a specialized kitchen agent first. Once that agent cleans up the measurements, it hands the structured data back to your main database agent using built-in SDK handoffs.

Setup guide

Set up Culinary Unit Converter MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Culinary Unit Converter tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Culinary Unit Converter tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Culinary Unit Converter tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Culinary Unit Converter Agent",
            instructions="You have access to Culinary Unit Converter tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Culinary 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 Culinary Unit Converter MCP in OpenAI Agents SDK

Install the package and initialize the streamable HTTP connection. Pass the MCP instance directly into your Agent constructor using the mcp_servers list. Your agents will auto-discover all the kitchen tools instantly.

Yes, you can control tool access through your SDK configuration. This prevents your agents from calling mass estimations when you only want them performing simple volume changes.

You can set the cacheToolsList parameter to true in your SDK setup. This keeps your agent fast by avoiding redundant tool discovery calls on every single culinary MCP request.

You can route recipe text to a specialized kitchen agent first. Once that agent cleans up the measurements using this MCP, it hands the structured data back to your main system.

This MCP only processes the raw numbers and ingredient names you submit for conversion. No personal cook profiles or proprietary recipe databases are ever stored or sent to third parties.

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