How to Use the Wiagro MCP in Pydantic AI

Q: Can Pydantic AI handle multiple sensor checks?

Yes. You can use getcurrentreadings for immediate data, or if you need a full picture, run it across multiple units listed by getsilobags. The validation layer keeps everything clean.

Q: What specialized alerts does Wiagro provide to Pydantic AI?

It provides structural integrity via getrupturealerts and operational status via getalerts. These critical alert tools are perfectly structured for Pydantic validation.

Q: How can I check the health of my sensors with Wiagro and Pydantic AI?

The getsensorhealth tool gives you sensor IDs, battery levels, and signal strength. Pydantic AI makes sure that even if a field is missing, your agent knows about it immediately.

Validate every grain reading with Pydantic AI using Wiagro's MCP Server tools.

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Connect Wiagro MCP to Pydantic AI

Create your Vinkius account to connect Wiagro to Pydantic AI 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 Wiagro with Pydantic AI

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Get immediate quality assessment scores.

The `get_quality_assessment` tool provides a score, risk level, and estimated remaining storage life for any unit. It’s crucial data for marketing timing. Pydantic AI ensures that even if the API returns unexpected fields, your agent fails loudly with a validation error—no silent corruption.

Check external risks using satellite data.

`get_satellite_data` pulls environmental context (weather impact, etc.) for silobag management. Knowing the outside risk is half the battle. Pydantic AI validates this incoming environmental data so your agent can trust its recommendations.

View all available monitoring units.

Start by calling `get_silobags` to list every unit, including their ID, location, and grain type. This gives you the manifest for your entire operation. Pydantic AI's rigorous validation guarantees that the inventory data passed to your agent is structured perfectly.

Setup guide

Set up Wiagro 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": {
        "wiagro-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Wiagro MCP in Pydantic AI

The MCP Server exposes all its tools, and Pydantic AI wraps the responses. This means every piece of data—from alerts to readings—is validated against strict Python models at runtime.

Yes. You can use `get_current_readings` for immediate data, or if you need a full picture, run it across multiple units listed by `get_silobags`. The validation layer keeps everything clean.

It provides structural integrity via `get_rupture_alerts` and operational status via `get_alerts`. These critical alert tools are perfectly structured for Pydantic validation.

The `get_sensor_health` tool gives you sensor IDs, battery levels, and signal strength. Pydantic AI makes sure that even if a field is missing, your agent knows about it immediately.

The server manages temperature, humidity, CO2 levels, and quality scores. Because the responses are validated, you can be absolutely certain of the data's format.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript