How to Use the Canix ERP MCP in AutoGen

Q: How do I configure Canix ERP for AutoGen?

Run pip install -U "autogen-extmcp". Pass your Vinkius endpoint URL into StreamableHttpServerParams, extract the tools, and feed them into your AssistantAgent constructor.

Q: Do AutoGen agents understand the Canix ERP schemas automatically?

Yes. The McpToolAdapter handles all the heavy lifting. It translates the JSON schemas for endpoints like getaccountinfo into a format the agents can natively read and debate.

Give your AutoGen agents live access to Canix ERP so they can debate and optimize your cannabis operations.

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Connect Canix ERP MCP to AutoGen

Create your Vinkius account to connect Canix ERP to AutoGen 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 Canix ERP with AutoGen

Ask AI about this MCP

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Perplexity

Let AutoGen agents debate inventory routing

Microsoft's framework shines when you force different agents to argue about the best path forward. You can assign one agent to monitor active stock via `list_inventory_packages` while another watches incoming demand using `list_sales_orders`. When a massive order drops, these agents talk to each other. The sales agent pushes to fulfill immediately, while the inventory agent checks `get_non_cannabis_product` to ensure you actually have enough packaging materials to ship the product legally.

Multi-agent consensus for Canix ERP MCP Server

Complex cultivation decisions rarely have a single right answer. By giving your swarm access to the MCP Server, you let them pull hard data before reaching a conclusion. A cultivation agent might run `list_plants` to suggest a harvest schedule. A separate operations agent reviews that output, checks the current facility capacity, and pushes back if the timeline looks too aggressive. They negotiate until they find a realistic plan.

Audit compliance through adversarial agents

Catching regulatory mistakes requires a paranoid mindset. You can build a specific security agent whose only job is to challenge your primary operations agent. The main agent pulls a record using `get_package_details` and drafts a shipping manifest. The adversarial agent immediately reviews that draft against state regulations, forcing a revision if any required tracking numbers are missing.

Setup guide

Set up Canix ERP MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Canix ERP tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Canix ERP_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Canix ERP data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Canix ERP_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Canix ERP data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Canix. 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 Canix ERP MCP in AutoGen

Run `pip install -U "autogen-ext[mcp]"`. Pass your Vinkius endpoint URL into `StreamableHttpServerParams`, extract the tools, and feed them into your `AssistantAgent` constructor.

Yes. The `McpToolAdapter` handles all the heavy lifting. It translates the JSON schemas for endpoints like `get_account_info` into a format the agents can natively read and debate.

Absolutely. You initialize the client once and distribute the returned tool list to whichever specific agents in your swarm need access to cultivation or sales data.

Yes, the Vinkius infrastructure fully supports it. You can connect your multi-agent system using either standard stdio or the streamable HTTP protocol depending on your deployment architecture.

We route your API traffic through a sealed, ephemeral environment. When your agents pull immature plant batches or non-cannabis inventory lists, that data passes through our zero-trust sandbox which holds absolutely no state between requests.

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