How to Use the Canix ERP MCP in CrewAI
Deploy autonomous agent crews to run your Canix ERP operations with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Canix ERP MCP to CrewAI
Create your Vinkius account to connect Canix ERP to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Set up an autonomous inventory crew
Assign an 'Inventory Watcher' agent to monitor stock using `list_inventory_packages`. When it finds a package nearing its 'best by' date, it delegates the task to a 'Sales Notifier' agent in the same crew. The Notifier agent's job is to alert the right people. This is how CrewAI works: you're not writing a script, you're defining specialized roles for a team of agents that collaborate to get a job done.
Build a hands-off sales order pipeline
You can create a crew to manage sales from start to finish. One agent's sole job is to scan for new orders with `list_sales_orders`. It passes new order IDs to an 'Analyst' agent, who then uses `get_sales_order` to check for special requirements. Once analyzed, the task moves to a 'Fulfillment' agent that kicks off the next step in your process. Your crew handles the entire workflow without any human input, running 24/7.
Run your grow operations with an agent team
This MCP Server lets you build a 'Cultivation Crew'. A 'Batch Monitor' agent watches for new batches with `list_plant_batches`. A 'Plant Health' agent periodically checks individual plants via `list_plants` and `get_plant_details`. If an issue is found, a 'Supervisor' agent can escalate it to a human manager. By dividing the labor, each agent can focus on one job, making your overall system much more capable.
Set up Canix ERP MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Canix ERP tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Canix ERP Analyst",
goal="Access and analyze Canix ERP data via MCP.",
backstory="Expert analyst with direct Canix ERP access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Canix ERP transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Canix ERP Analyst",
goal="Access and analyze Canix ERP data via MCP.",
backstory="Expert analyst with direct Canix ERP access.",
tools=mcp_tools,
)
task = Task(
description="List recent Canix ERP transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
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