How to Use the Pasta Water Ratio MCP in AutoGen

Let your AutoGen agents debate and agree on the perfect pasta water metrics.

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Setup Pasta Water Ratio with AutoGen

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Resolve pasta metrics through AutoGen agent debate

`get_ideal_ratios` calculates the necessary water volume and cook times for your multi-agent conversations. One agent can request the ratio while another agent verifies if the kitchen setup can support it. This debate ensures that your cooking plans are realistic. The agents negotiate the final parameters before outputting the recipe.

Validate salinity with an AutoGen quality agent

`verify_salinity` allows a specialized quality agent to check the salt levels proposed by your main chef agent. If the salt concentration is too high, the quality agent rejects the plan. This back-and-forth conversation prevents bad cooking decisions. Your agents negotiate the optimal salt level using real mathematical feedback.

Assess texture risks using this MCP Server

`assess_texture_risk` evaluates the danger of overcooking the pasta based on the current water volume. A performance agent can run this check to challenge the cooking times proposed by other agents. The agents resolve the risk through structured debate. This ensures your final cooking instructions are optimized for the best possible noodle texture.

Setup guide

Set up Pasta Water Ratio 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 Pasta Water Ratio 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="Pasta Water Ratio_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Pasta Water Ratio 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="Pasta Water Ratio_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Pasta Water Ratio 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 Pasta Water Ratio. 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 Pasta Water Ratio MCP in AutoGen

You install the autogen-ext package and pass the server URL to the mcp_server_tools function. This automatically registers all three cooking tools with your AssistantAgent.

Yes, any agent in your group chat can call these tools during their turn in the conversation. A chef agent might calculate ratios while a critic agent checks the salinity levels.

Yes, the adapter supports both stdio and Streamable HTTP transports. This allows your agents to communicate with the cooking tools locally or over a network.

The McpToolAdapter handles the schema translation automatically. Your agents get clean JSON schemas for water, salt, and risk calculations without manual mapping.

Your pasta shapes, water volumes, and salt weights are kept local to your agent conversation. This MCP processes all culinary calculations within your isolated network, keeping your recipes private.

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