How to Use the Blood Type Compatibility & Demographics MCP in Pydantic AI

Q: Does Pydantic AI support pregnancy risk from Blood Type Compatibility & Demographics?

It supports the analyzepregnancyrisk tool. You can define a Pydantic model to ensure the risk score is always a valid number.

Verify medical data types with Pydantic AI and this MCP.

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Connect Blood Type Compatibility & Demographics MCP to Pydantic AI

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Setup Blood Type Compatibility & Demographics with Pydantic AI

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Claude

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Gemini

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Type-safe compatibility checks

Use `get_rbc_compatibility` and `get_plasma_compatibility` to get donor data. Pydantic AI ensures every response matches your models so you don't get silent errors. If the tool returns something unexpected, your agent fails loudly. This prevents the system from processing incorrect medical info.

Validated risk scoring

The `analyze_pregnancy_risk` tool provides Rh risk scores. Your agent will fail loudly if the data doesn't meet your strict requirements. This ensures that the risk evaluation is always complete before your agent presents it to a user.

Demographic accuracy

Pull regional data with `get_population_distribution`. This keeps your agent's demographic stats grounded in actual data. You can define the exact schema for these stats. Pydantic AI will validate the regional data against your requirements at runtime.

Setup guide

Set up Blood Type Compatibility & Demographics 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": {
        "blood-type-compatibility-demographics-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Blood Type Compatibility & Demographics tools.",
)

result = await agent.run("List recent Blood Type Compatibility & Demographics transactions")
print(result.output)

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Common questions about Blood Type Compatibility & Demographics MCP in Pydantic AI

Use the MCPToolset to connect the server. Pydantic AI will then validate the responses from the compatibility tools.

Yes, Pydantic AI validates every MCP response against your models. This prevents hallucinated fields in your blood type data.

It supports the `analyze_pregnancy_risk` tool. You can define a Pydantic model to ensure the risk score is always a valid number.

Yes, Pydantic AI supports SSE transports for this MCP. This makes it easy to connect your agent to the toolset.

The MCP touches regional demographics and blood type compatibility facts. It doesn't touch personal medical records or names.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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