How to Use the WA Smart Business MCP in AutoGen

Build Consensus-Driven WhatsApp Solutions with AutoGen and the WA Smart Business MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect WA Smart Business MCP to AutoGen

Create your Vinkius account to connect WA Smart Business 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 WA Smart Business with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

AutoGen: Debating Messaging Strategy

Need a final decision on how to send out a bulk message? You set up multiple agents—say, a 'Legal Agent' and a 'Performance Agent.' They debate the strategy. One might flag risks based on `list_templates`, while another optimizes for speed using `send_template`. The user gets consensus-driven output. The system doesn't just execute; it negotiates between competing perspectives before deciding if and how to use the MCP Server tools.

MCP Server: Multi-Agent Customer Verification

Want to verify a new lead? You assign an 'Input Agent' to first run `search_customers` for basic checks. Then, a 'Verification Agent' takes that output and cross-references it with the latest agent details using `get_agent`. They discuss discrepancies until they agree on status. This process ensures multiple viewpoints vet every piece of data before an action is taken.

AutoGen: Orchestrating Communication Flows

The framework allows you to model complex communication flows that require deliberation. For example, if a customer needs media sent (`send_media`), one agent checks the asset availability, and another confirms it matches the template rules before the final send is approved. It handles the complexity of deciding WHICH tool runs when, based on negotiation between specialized AI roles.

Setup guide

Set up WA Smart Business 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 WA Smart Business 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="WA Smart Business_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent WA Smart Business 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="WA Smart Business_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent WA Smart Business 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 WA Smart Business. 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 WA Smart Business 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 WA Smart Business MCP in AutoGen

AutoGen allows agents to debate and challenge conclusions. Instead of a single linear execution path, multiple perspectives converge on a final decision regarding customer communication or data handling.

Yes. You can set up agents to decide the best recipient based on `list_customers` and then debate the optimal messaging channel, ensuring compliance before using `send_message`.

The system manages customer records, agent details, message content, campaigns, and media assets. These various data points are debated and validated across the multi-agent conversation.

For high-risk or complex decisions—like deciding if a message should be a template or manual text—it is. It introduces deliberation and consensus, which structured code can't replicate.

This server touches customer records, agent details, message content, and media assets. You must ensure that the agents are properly scoped and limited in what data they can discuss or access.

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