How to Use the NetEase BUFF MCP in AutoGen

Use AutoGen agents to debate and execute NetEase BUFF trades with consensus-driven logic.

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Connect NetEase BUFF MCP to AutoGen

Create your Vinkius account to connect NetEase BUFF 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 NetEase BUFF with AutoGen

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Claude

Perplexity

Debate trades with AutoGen agents

Assign one agent to analyze `get_market_items` while another evaluates your risk using `get_user_profile`. They discuss the trade before taking action. This multi-agent approach prevents impulsive buys. Your agents negotiate the target price based on the `get_price_history` data they both review.

Execute orders through AutoGen

Configure an executor agent to call `create_buy_order` only after the planning agents reach consensus. This adds a layer of scrutiny to your automated trading. Use `get_transaction_history` as a feedback loop. Your agents review past results to refine their future strategy and avoid repeating mistakes.

Manage inventory with AutoGen

Keep your backpack synced via `sync_inventory` and let your agents audit the results. They can identify underperforming assets that need to be listed for sale. Agents handle the clean-up of open positions by calling `get_buy_orders` and `cancel_order` when market conditions no longer support the original strategy.

Setup guide

Set up NetEase BUFF 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 NetEase BUFF 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="NetEase BUFF_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install the MCP extension and pass the server tools to your AssistantAgent. You then define the conversational flow between your agents to manage the trading logic.

Yes. The agents pass tool results back and forth. One agent can fetch the data, and another can decide how to act on it.

The Vinkius sandbox isolates the server from your local environment. Your trading operations are fully contained within the secure MCP transport.

It provides a framework for debate. You can set up a 'Risk Agent' that must approve any `create_buy_order` call based on your wallet balance.

The server performs all requests on your behalf using a secure token. No raw account data is stored on your disk or inside the agent's memory.

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