How to Use the EZO Asset Intelligence MCP in AutoGen

Enable multi-agent debate in AutoGen by giving your team access to EZO Asset Intelligence inventory and audit tools.

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Connect EZO Asset Intelligence MCP to AutoGen

Create your Vinkius account to connect EZO Asset Intelligence 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 EZO Asset Intelligence with AutoGen

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Debate asset status in AutoGen

Assign one agent to audit equipment while another negotiates procurement. Both agents use `quick_asset_volume_audit` to challenge each other's assumptions about asset availability. This forces a consensus-based decision on whether to purchase new gear. The agents resolve conflicts by analyzing the data returned from the EZO API.

Verify checkouts via MCP Server agents

Use a specialized security agent to monitor equipment checkouts. It calls `list_currently_checked_out_assets` to compare actual usage against your internal policy requirements. If discrepancies appear, the agent flags the issue for human review. This ensures that your asset tracking remains accurate through automated oversight.

Manage account members in AutoGen

Let your agents coordinate with your team by querying member lists. The agent calls `list_account_members` to verify user permissions before authorizing an asset checkout. This adds a layer of accountability to your inventory operations. It ensures that only authorized personnel can trigger changes in your managed asset records.

Setup guide

Set up EZO Asset Intelligence 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 EZO Asset Intelligence 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="EZO Asset Intelligence_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent EZO Asset Intelligence 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="EZO Asset Intelligence_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent EZO Asset Intelligence 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 EZO Asset Intelligence. 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 EZO Asset Intelligence MCP in AutoGen

Yes. You pass the tool list to your agents, allowing them to collaborate on inventory tasks by executing functions as part of their conversation.

The agents debate the outputs of the tools. If one agent finds an asset is missing, it can call `get_asset_detailed_data` to resolve the discrepancy.

The server uses a standard interface that AutoGen adapters recognize immediately. It supports the conversational flow required for complex multi-step tasks.

Access is controlled via your API token permissions. The server only performs the actions authorized by your specific account setup.

The server ensures that asset identifiers and member names are only processed within your agent's local memory, keeping your inventory logs confidential.

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