How to Use the VineRadar MCP in Pydantic AI

Q: How do I search for vineyards using VineRadar with Pydantic AI?

Execute searchvineyards and pass in a location string. The result is then forced through Pydantic validation, guaranteeing the output conforms to your expected schema.

Q: Can I audit varietals list using VineRadar with Pydantic AI?

Certainly. Use listwinevarietals to get the complete set of supported wine types. The Pydantic validation ensures this list is always structured and usable.

Connect VineRadar to Pydantic AI: Get rock-solid, type-safe wine and vineyard data validation for production agents.

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Connect VineRadar MCP to Pydantic AI

Create your Vinkius account to connect VineRadar 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 VineRadar with Pydantic AI

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Get Complete Vineyard Data

The `get_vineyard_details` tool pulls all the necessary information about a specific property. Crucially, Pydantic validates that every single field returned is exactly what you expect. If VineRadar sends back unexpected data—say, a missing ID or an extra field—your agent fails with a loud validation error, not corrupted output.

Search and Validate Wine Details

Use `search_wines` to look up bottles by name or keyword. The response is immediately validated against Pydantic models, guaranteeing that the data structure you receive is sound. This focus on correctness means your agent can trust the wine details it receives and move confidently to the next step.

Check API Connectivity

Need to know if the connection is live? Run `check_api_status`. This ensures that before you start complex tasks, your agent confirms the VineRadar endpoint is accessible and ready for use. It's a foundational step. You run this check first; if it fails, you stop the process immediately.

Setup guide

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

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

result = await agent.run("List recent VineRadar 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 VineRadar. 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 VineRadar MCP in Pydantic AI

Execute `search_vineyards` and pass in a location string. The result is then forced through Pydantic validation, guaranteeing the output conforms to your expected schema.

The system will fail loudly because the data violates the defined model structure. You won't get ambiguous or incomplete records, which is exactly what you want in a production environment.

Yes. This server handles vineyard and wine details (text strings). The connection relies on an endpoint token, giving you full control over who can access this information via your agent.

Certainly. Use `list_wine_varietals` to get the complete set of supported wine types. The Pydantic validation ensures this list is always structured and usable.

The agent will throw a visible, specific validation error immediately. This stops the process before bad data can corrupt your workflow or trigger false conclusions.

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