How to Use the Chuanglan 253 MCP in AutoGen

Q: Can I use Chuanglan 253 for 2FA in AutoGen?

You can. Agents handle the verification flow by calling sendverificationsms and confirming the response with the user.

Coordinate multi-agent SMS campaigns in AutoGen with Chuanglan 253.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Chuanglan 253 MCP to AutoGen

Create your Vinkius account to connect Chuanglan 253 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.

GDPR Free for Subscribers

Setup Chuanglan 253 with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate SMS strategy with AutoGen

Have your marketing agent propose a message using `send_sms` while a compliance agent reviews the content against template rules. They debate the output until they reach a consensus. This setup prevents mistakes. The compliance agent can call `query_template_list` to verify the format before anything is sent to your customers.

Handle verification in AutoGen

Deploy specialized agents to manage your login flows via `send_verification_sms`. One agent can handle the code generation while another monitors for delivery confirmation. If a message fails, the agents discuss an alternative, such as using `send_voice_verification`. This provides a resilient, multi-agent approach to security.

Audit messaging performance in AutoGen

Use an analyst agent to fetch data with `query_batch_sms_status`. It checks the results and reports back to your lead agent on campaign success rates. If the metrics drop, the agents can investigate the account status by calling `get_account_info`. They work together to resolve issues without needing your manual intervention.

Setup guide

Set up Chuanglan 253 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 Chuanglan 253 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="Chuanglan 253_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Chuanglan 253 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="Chuanglan 253_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Chuanglan 253 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 Chuanglan 253. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Chuanglan 253 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chuanglan 253 MCP in AutoGen

Agents share the toolset and call them based on the conversation state. They decide which tool like `send_sms` is appropriate for the current task.

Yes, they can discuss and execute bulk sends. One agent performs the action while another monitors the result via `query_sms_status`.

Agents use the tools to gather information before making decisions. They can call `query_template_list` to inform their debate on which message to send.

You can. Agents handle the verification flow by calling `send_verification_sms` and confirming the response with the user.

All communication is transient. The server does not persist your phone numbers or verification codes, ensuring that your agentic debates remain confidential.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript