How to Use the Cin7 Omni MCP in AutoGen
Give your AutoGen agents access to Cin7 Omni to debate inventory strategies and negotiate purchase orders.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cin7 Omni MCP to AutoGen
Create your Vinkius account to connect Cin7 Omni 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.
Multi-Agent Inventory Debates
The `list_stock_levels` tool feeds raw quantity data into an AutoGen chat where multiple agents analyze the numbers. A forecasting agent might look at low stock and propose a massive reorder. A finance agent reviews the same data and pushes back to conserve cash flow. They use `get_sku_stock_level` to drill down into specific problematic items during their negotiation. The agents challenge each other's assumptions based on the live data. You get a well-reasoned consensus on what to order rather than a blind automated trigger.
Collaborative Order Fulfillment
Managing complex B2B sales involves the `list_sales_orders` tool to identify pending shipments. A logistics agent pulls the list and flags orders missing shipping details. A customer success agent simultaneously uses `list_cin7_contacts` to draft update emails for those specific clients. These agents communicate in a shared thread. If the logistics agent finds a delay via `get_sales_order_details`, it notifies the success agent to change the tone of the email. This multi-perspective approach prevents isolated mistakes and handles edge cases that simple scripts miss.
AutoGen MCP Server Integration
Connecting the system takes a few lines of code with `autogen-ext[mcp]`. You configure `StreamableHttpServerParams` with your Vinkius URL. The framework's `McpToolAdapter` automatically converts the eight inventory operations into tools your `AssistantAgent` can understand. Vinkius provides the stable infrastructure needed for long-running agent conversations. Auth is completely abstracted away. Your agents can debate for hours without worrying about API token expiration or rate limit bans interrupting their workflow.
Set up Cin7 Omni 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Cin7 Omni tools and returns structured results.
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="Cin7 Omni_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Cin7 Omni data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Cin7 Omni_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Cin7 Omni data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cin7 Omni. 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 Cin7 Omni MCP in AutoGen
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