How to Use the Chuanyun MCP in AutoGen

Enable AutoGen multi-agent debate using live Chuanyun business data.

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Connect Chuanyun MCP to AutoGen

Create your Vinkius account to connect Chuanyun 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 Chuanyun with AutoGen

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Perplexity

Debate Chuanyun records with AutoGen agents

Assign one agent to fetch data with `get_biz_object_details` while another reviews it for compliance. They negotiate the next step based on the retrieved facts. This conflict-driven approach ensures that business objects are updated only after multi-agent consensus. Your system effectively manages complex ERP tasks through internal discussion.

Manage Chuanyun users and permissions

Use `list_users` to help agents verify authorized personnel before performing sensitive actions. AutoGen agents check these lists during their deliberation process. Security agents can flag unauthorized attempts, while operational agents provide the necessary data. This creates a checks-and-balances loop for your business records.

Execute Chuanyun workflows as a team

Coordinate multi-agent teams to navigate complex `list_workflows` structures. One agent maps the process while another executes the necessary object changes. You build systems where agents challenge each other's conclusions regarding workflow status. It is a robust way to handle non-obvious enterprise decisions.

Setup guide

Set up Chuanyun 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 Chuanyun 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="Chuanyun_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

The server provides a tool adapter that translates requests into native calls. Your agents invoke these tools during their conversation to get data.

Yes, you can set up a team where one agent proposes an update and another verifies the schema before execution. This prevents errors in your business objects.

All traffic is handled through an encrypted MCP transport. Your business objects are only accessible to the agents you explicitly authorize.

The server supports multiple concurrent calls, allowing your agents to work in parallel. Each request is isolated to prevent cross-talk.

Agents can pull history logs to inform their debate. This ensures that every agent decision is based on actual workflow instance data.

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