How to Use the 2Chat MCP in AutoGen

Debate your WhatsApp strategy with AutoGen and 2Chat tools.

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Connect 2Chat MCP to AutoGen

Create your Vinkius account to connect 2Chat 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 2Chat with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate messaging with AutoGen agents

Let your agents argue over the best `send_message` approach. One agent drafts the text, another checks if it fits the group context. This MCP server provides the tools for your agents to negotiate. They converge on a final decision before firing the message.

Organize groups using AutoGen

Have your agents debate group membership via `list_groups`. They analyze participant lists to decide who belongs in which chat. Use `create_group` to execute the final plan. Your agents challenge each other to ensure the group structure makes sense.

Verify sender availability with AutoGen

Run `list_numbers` so your agents know which accounts are active. A performance agent might push for a specific number to ensure speed. Use `check_number` to validate targets. The security agent flags risky numbers before the team agrees to proceed with the message.

Setup guide

Set up 2Chat 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 2Chat 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="2Chat_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent 2Chat 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="2Chat_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent 2Chat 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 2Chat. 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 2Chat MCP in AutoGen

Use the autogen-ext package to handle the MCP server tools. The McpToolAdapter converts schemas so your agents can call them immediately.

It enables consensus-driven decisions. You can have a security agent flag risks while another agent optimizes for message delivery speed.

Vinkius uses ephemeral sandbox environments. Your WhatsApp contact records and message UUIDs never persist beyond your session.

Absolutely. They can challenge each other's conclusions about which group to message or which number to use for the outreach.

Yes. The server supports both stdio and Streamable HTTP transports for flexible agent communication.

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

Mastra AI sdk-typescript

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