How to Use the BotPenguin MCP in AutoGen

Set up multi-agent debates in AutoGen using BotPenguin tools to resolve support tickets.

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Connect BotPenguin MCP to AutoGen

Create your Vinkius account to connect BotPenguin 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 BotPenguin with AutoGen

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Perplexity

Debate BotPenguin data in AutoGen

Assign one agent to `list_chats` and another to analyze sentiment. They challenge each other until they reach a consensus. Your agents compare notes on active sessions. This eliminates errors that a single agent might miss.

Send OTPs via AutoGen and BotPenguin

Let a security agent trigger `send_otp` only after verifying the user. It adds a layer of logic before any action occurs. The agents negotiate the necessity of the message. You define the rules; the agents execute them.

Manage agents with BotPenguin and AutoGen

Use `list_agents` to see who is available. Your system routes tasks based on the current workload of your human team. It removes the need for manual dispatching. The agents handle the assignment based on your specific requirements.

Setup guide

Set up BotPenguin 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 BotPenguin 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="BotPenguin_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent BotPenguin 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 BotPenguin. 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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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BotPenguin MCP in AutoGen

You pass the tool list to the AssistantAgent. All agents in your group chat then have access to the same functions.

Yes, if an agent detects a priority issue in a chat, it can call the tools to involve other agents for a resolution.

Vinkius manages the auth token. Your AutoGen agents just receive the tools ready to use.

The MCP adapter supports shared tool access. Each agent can call the tools independently during the conversation.

Every tool call is isolated within a zero-trust sandbox. Your chat logs and contact details never leak between agent processes.

Use it with your favorite AI tools

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

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