How to Use the Vinsight MCP in Pydantic AI

Q: What specific tools does Vinsight expose to Pydantic AI?

The server exposes everything from listpurchaseorders for supply chain checks to getstockitem, which gives the definitive product record. All 12 tools are available.

Q: Can I use Vinsight's contact search with Pydantic AI?

Yes. The agent uses searchcontacts to pull structured data, guaranteeing that payment terms and order history fields match the expected format every time.

Q: Does Vinsight support tracking multiple locations with Pydantic AI?

It does. You can call listwarehouses or check out listvessels to manage and validate inventory data across various sites and cellars.

Ensure perfect data accuracy for your operation using Pydantic AI's type validation.

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Connect Vinsight MCP to Pydantic AI

Create your Vinkius account to connect Vinsight 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 Vinsight with Pydantic AI

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Validate Sales and Order Data

If you need to check sales records, the agent calls `list_sales_orders` and gets a clean list of all core revenue tracking data. You can also get details on one specific order using `get_sales_order`. If the API returns bad fields, Pydantic AI fails loudly. For raw materials, `search_stock_items` gives you product specs like SKU, price, and unit of measure, all validated against a strict schema.

Manage Production and Quality Control

Tracking production batches is simple with the MCP Server's `list_batches`. It keeps a clean record of individual lots. For quality assurance, running `list_lab_results` pulls sorted analysis results, making sure compliance data is always structured correctly. Furthermore, you can track all movement by calling `list_production_orders`, which details the winemaking or brewing process flow.

Handle Inventory and Locations

The agent manages multiple locations using `list_warehouses`. When checking stock, `list_stock_levels` provides validated current inventory counts. You can also check your physical space by listing vessels with `list_vessels`, knowing exactly what capacity data you're getting. Finally, locating necessary suppliers is easy; use `search_contacts` to retrieve structured contact profiles and payment terms.

Setup guide

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

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

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

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Common questions about Vinsight MCP in Pydantic AI

Pydantic AI guarantees that every piece of data returned by the MCP Server is validated against strict Python models at runtime. If a field is missing or wrong, your agent fails immediately—no silent errors.

The server exposes everything from `list_purchase_orders` for supply chain checks to `get_stock_item`, which gives the definitive product record. All 12 tools are available.

Yes. The agent uses `search_contacts` to pull structured data, guaranteeing that payment terms and order history fields match the expected format every time.

It does. You can call `list_warehouses` or check out `list_vessels` to manage and validate inventory data across various sites and cellars.

This server handles a massive amount of structured operational data, including sales orders (`list_sales_orders`), purchase order inputs, and product details from `search_stock_items`.

Use it with your favorite AI tools

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