Can I check the weight of a specific package using the agent?

Yes! Use the `get_package_details` tool with the Package ID. Your agent will fetch the detailed metadata, which includes the weight and unit of measure directly from Canix.

How do I list all the plants in a specific growth phase?

Simply ask the agent to `list_plants`. You can then filter the results by growth phase or status metadata using the agent's natural language capabilities.

Does the integration allow creating a new sales order?

The current toolset is focused on querying and monitoring (Read-Only) for operational oversight. Creating or updating sales orders should be managed through the Canix web interface or dedicated sales terminal.

Canix ERP MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Canix ERP
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Canix ERP through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Canix ERP "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Canix ERP?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Canix ERP MCP Server

Connect your Canix account to any AI agent and orchestrate your cannabis cultivation, inventory management, and sales workflows through natural conversation.

Pydantic AI validates every Canix ERP tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Inventory Oversight — List and retrieve detailed metadata for all cannabis packages and individual inventory items.
Cultivation Tracking — Monitor individual plants and immature plant batches across your facilities.
Sales Coordination — Access and monitor sales orders, including contents and payment history directly from your workspace.
Non-Cannabis Management — Track non-cannabis inventory like packaging, nutrients, and supplies.
Operational Reporting — Retrieve core account and facility information straight from your workspace.
Data Deep Dives — Get detailed data for specific package, plant, or order IDs using natural language.

The Canix ERP MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Canix ERP to Pydantic AI via MCP

Follow these steps to integrate the Canix ERP MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Canix ERP with type-safe schemas

Why Use Pydantic AI with the Canix ERP MCP Server

Pydantic AI provides unique advantages when paired with Canix ERP through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Canix ERP integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Canix ERP connection logic from agent behavior for testable, maintainable code

Canix ERP + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Canix ERP MCP Server delivers measurable value.

Type-safe data pipelines: query Canix ERP with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Canix ERP tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Canix ERP and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Canix ERP responses and write comprehensive agent tests

Canix ERP MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Canix ERP to Pydantic AI via MCP:

get_account_info

Retrieve core account information

get_non_cannabis_product

Get details of a specific non-cannabis product

get_package_details

Get details of a specific cannabis package

get_plant_details

Get details of a specific plant

get_sales_order

Get details of a specific sales order

list_inventory_packages

List all cannabis packages (inventory) in Canix

list_non_cannabis_inventory

List non-cannabis inventory like packaging or nutrients

list_plant_batches

List immature plant batches

list_plants

List individual plants in the cultivation phase

list_sales_orders

List all sales orders

Example Prompts for Canix ERP in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Canix ERP immediately.

"List all active inventory packages in Canix."

"Show the details for sales order with ID 99283."

"How many plants are currently in the Flowering phase?"

Troubleshooting Canix ERP MCP Server with Pydantic AI

Common issues when connecting Canix ERP to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Canix ERP + Pydantic AI FAQ

Common questions about integrating Canix ERP MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Canix ERP MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.