How to Use the Hydration Calculator MCP in Pydantic AI

Validate every step with the Hydration Calculator using Pydantic AI's strict typing.

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Connect Hydration Calculator MCP to Pydantic AI

Create your Vinkius account to connect Hydration Calculator to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Hydration Calculator with Pydantic AI

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Validated Ingredient Analysis

When you need to calculate dough hydration percentage, this MCP Server forces your agent to validate inputs against specific models. It takes flour and liquid weights, ensuring the calculation is done correctly every single time. This type-safe framework means if the API returns an unexpected field, your process fails loudly—no silent data corruption.

MCP Server for Baking Science

The `classify_texture` tool requires a precise hydration percentage and profile name. Pydantic AI validates these inputs, giving you a reliable classification of the crumb structure. This level of correctness is essential when your agent needs to generate reports or trigger subsequent actions based on physical properties.

Accurate Dough Type Determination

If you're determining dough type, the tool takes flour and salt composition. The result is validated against Pydantic models before your agent uses it. This guarantees that whether the output says 'pizza' or 'bread', the format is exactly what your downstream code expects.

Setup guide

Set up Hydration Calculator MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "hydration-calculator-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Hydration Calculator tools.",
)

result = await agent.run("List recent Hydration Calculator transactions")
print(result.output)

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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 Hydration Calculator. 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 Hydration Calculator MCP in Pydantic AI

It calculates hydration percentage from flour and liquid weights. The MCP Server runs this logic, and Pydantic AI ensures that the resulting data structure is perfect before your agent receives it.

Yes. You can feed in various ingredient weights and profiles; the MCP Server calculates the percentage, which you use to determine texture or dough type, all within a strictly typed environment.

It processes ingredient weights (flour/liquid) and composition details like salt. These raw inputs are then validated to produce specific, predictable output types.

The agent fails loudly with a validation error. It won't proceed with corrupted or unexpected fields, forcing you to fix the source data immediately.

The server touches ingredient weights (flour/liquid) and baking profiles. It uses these types of inputs to guarantee that both the calculated percentage and the resulting dough type are structurally sound.

Use it with your favorite AI tools

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