How to Use the Megaventory MCP in AutoGen

Q: How do I register Megaventory tools with AutoGen agents?

Install autogen-extmcp and use the mcpservertools helper with your Vinkius server URL. Pass the generated tools list directly into your AssistantAgent constructor to give your agents access to the ERP.

Q: Can AutoGen agents collaborate to update a Megaventory sales order?

Yes, a warehouse agent can call getstockbyproduct to confirm packing, while a shipping agent calls updatesalesorder to mark it ready. They coordinate these actions through structured multi-agent conversations.

Q: How does AutoGen handle schema conversion for this Megaventory MCP Server?

The McpToolAdapter in the AutoGen extension translates the Megaventory JSON schemas into the format expected by the agents. This ensures your agents understand the input parameters for tools like updateproduct without manual mapping.

Let AutoGen agents debate and coordinate supply chain decisions using real-time Megaventory data over this MCP Server.

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Connect Megaventory MCP to AutoGen

Create your Vinkius account to connect Megaventory 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 Megaventory with AutoGen

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Let agents debate inventory replenishment

`get_inventory_stock` provides the raw data that triggers multi-agent debates about warehouse replenishment. A procurement agent analyzes the stock levels while a finance agent evaluates budget constraints using the same data. These agents negotiate the optimal order size before calling `update_product` or drafting a new purchase order. You get a consensus-driven decision based on real operational limits instead of a single-agent guess.

Coordinate sales fulfillment with this MCP Server

`list_sales_orders` retrieves pending customer shipments for your AutoGen coordination group. A logistics agent reviews the delivery addresses while a stock agent checks item availability across multiple warehouses. If an item is missing, the stock agent calls `list_locations` to find alternative sourcing options. The agents collaborate in a structured chat to resolve the bottleneck before updating the customer profile.

Validate supplier updates via consensus

`list_supplier_clients` pulls vendor profiles so your compliance and purchasing agents can verify record accuracy. One agent checks for updated tax IDs while another matches the pricing tiers against historical contracts. Once both agents agree the vendor data is correct, the system triggers `update_supplier_client` to save the changes. This multi-agent verification process prevents unauthorized or incorrect modifications to your supplier database.

Setup guide

Set up Megaventory 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 Megaventory 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="Megaventory_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Megaventory 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="Megaventory_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Megaventory 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 Megaventory. 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 Megaventory MCP in AutoGen

Install `autogen-ext[mcp]` and use the `mcp_server_tools` helper with your Vinkius server URL. Pass the generated tools list directly into your `AssistantAgent` constructor to give your agents access to the ERP.

Yes, a warehouse agent can call `get_stock_by_product` to confirm packing, while a shipping agent calls `update_sales_order` to mark it ready. They coordinate these actions through structured multi-agent conversations.

The `McpToolAdapter` in the AutoGen extension translates the Megaventory JSON schemas into the format expected by the agents. This ensures your agents understand the input parameters for tools like `update_product` without manual mapping.

The conversation loop continues until the agents meet your defined consensus criteria or a human referee intervenes. The tool `update_supplier_client` will not run until the debating agents resolve their conflict and authorize the call.

Your supplier records, purchase orders, and financial transactions are routed through single-use, ephemeral V8 sandboxes via the MCP protocol. Vinkius manages the API tokens securely, preventing your private business agreements and customer histories from leaking during agent debates.

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