How to Use the Asset Panda MCP in AutoGen

Q: Can multiple AutoGen agents modify Asset Panda?

They can if you give them the updateobject tool. You can set constraints so only specific agents can perform write operations.

Enable multi-agent debate in AutoGen to verify and manage your Asset Panda inventory records.

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Connect Asset Panda MCP to AutoGen

Create your Vinkius account to connect Asset Panda 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 Asset Panda with AutoGen

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Debate Asset Panda tasks in AutoGen

Set up a security agent and an inventory agent to cross-check `list_objects` output. They compare results to ensure no assets go missing. Conflict resolution happens in the chat. If the agents disagree on an asset status, they negotiate until they reach a consensus before updating the record.

Manage Asset Panda workflow in AutoGen

Assign `create_object` tasks to your specialist agent. Other agents provide feedback on the input data before the operation executes. You build systems where agents challenge each other. This prevents bad data from entering your inventory management system.

Deploy Asset Panda tools in AutoGen

The adapter converts your tools into a format the agents understand. They use `get_account_check` to verify the connection before starting any work. Your agents handle the heavy lifting. They decide which tools to call and how to interpret the results during their conversation.

Setup guide

Set up Asset Panda 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 Asset Panda 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="Asset Panda_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Asset Panda 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 Asset Panda. 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.

Why Choose Vinkius

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Common questions about Asset Panda MCP in AutoGen

You pass the server tools into your AssistantAgent constructor. The adapter handles the schema so your agents can call the API functions directly.

Yes, the agents pass context back and forth in their conversation. They can debate the data returned by `get_object` to reach a better conclusion.

They can if you give them the `update_object` tool. You can set constraints so only specific agents can perform write operations.

We use a zero-trust sandbox for all tool executions. Your asset information is never stored or shared outside your private agent session.

The server manages incoming tool calls sequentially. You don't need to worry about race conditions when agents debate their next move.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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