How to Use the Dutchie Plus MCP in Pydantic AI

Q: How do I add Dutchie Plus tools to Pydantic AI?

Initialize MCPToolset with your Vinkius HTTP endpoint. Pass this toolset to your Agent instance to expose the MCP Server tools to your model.

Q: How do I fetch metadata for my Dutchie Plus account?

Call getdutchieplusmetadata to retrieve account limits and metadata. This MCP Server tool helps you verify your API status before running intensive operations.

Ensure zero-error dispensary workflows by validating Dutchie Plus data at runtime using Pydantic AI and this MCP Server.

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Connect Dutchie Plus MCP to Pydantic AI

Create your Vinkius account to connect Dutchie Plus 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 Dutchie Plus with Pydantic AI

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Perplexity

Type-safe order lookups in Pydantic AI

`get_order_details` pulls granular transaction data and parses it directly into structured Python models. The framework validates every field, from tax calculations to customer pickup times, at runtime. If the Dutchie Plus API returns an unexpected null value, Pydantic AI raises a validation error immediately. This prevents corrupted order records from reaching your fulfillment team's dashboard.

Validate dispensary locations with this MCP Server

`list_dispensary_locations` outputs your entire storefront network under strict type constraints. Your agent maps these locations to Pydantic models to guarantee all IDs match your database schema. Using these validated models ensures that downstream tools like `get_location_details` never run with malformed inputs. You eliminate silent failures across your multi-state dispensary operations.

Structured brand and menu synchronization

`list_synced_brands` exposes all product brands verified in your enterprise catalog. Pydantic AI enforces type safety on this list, making sure brand names and IDs are clean before ingestion. You can feed this validated brand data directly to `list_online_menus` to run catalog audits. This setup ensures your online menus conform exactly to your internal inventory specifications.

Setup guide

Set up Dutchie Plus 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": {
        "dutchie-plus-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Initialize `MCPToolset` with your Vinkius HTTP endpoint. Pass this toolset to your `Agent` instance to expose the MCP Server tools to your model.

Pydantic AI will fail loudly with a validation error. This prevents your agent from hallucinating values or processing invalid order details.

Yes. The framework is model-agnostic, allowing you to use Dutchie Plus tools with OpenAI, Anthropic, Gemini, or local models.

Call `get_dutchie_plus_metadata` to retrieve account limits and metadata. This MCP Server tool helps you verify your API status before running intensive operations.

All transaction records and brand lists pass through Vinkius's ephemeral sandboxes. Credentials are encrypted, and no data is cached or stored after the execution ends.

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