How to Use the BotGenuity MCP in AutoGen

Q: Can multiple AutoGen agents call BotGenuity tools simultaneously?

Yes. Your agents can call tools like chatwithbot independently during their group chat to test different bot responses.

Q: How do AutoGen agents collaborate using BotGenuity lead data?

One agent can call listcapturedleads to pull the data, then hand it off to a writer agent to draft follow-up messages based on the captured details.

Q: How is my BotGenuity configuration data protected in AutoGen?

Your bot configurations retrieved via getchatbotdetails are processed entirely within your local AutoGen environment. Vinkius secures the API credentials and runs the MCP server in an ephemeral sandbox to prevent data leaks.

Let AutoGen agents debate support quality and manage BotGenuity bots through this collaborative MCP Server.

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Connect BotGenuity MCP to AutoGen

Create your Vinkius account to connect BotGenuity 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 BotGenuity with AutoGen

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Let AutoGen agents audit BotGenuity performance

The `get_conversation_history` tool feeds raw customer chats into your AutoGen multi-agent conversation. A quality assurance agent can analyze the transcript while a supervisor agent decides if the bot handled the issue correctly. By using `list_chatbot_conversations`, your agents can systematically scan through active support sessions. They coordinate to identify which conversations need human intervention.

Coordinate BotGenuity deployments via AutoGen

The `list_chatbots` tool allows your primary AutoGen agent to discover all deployed bots in your account. This MCP connection lets the agent then share this list with specialized sub-agents to divide up monitoring tasks. When an agent identifies a bot that needs inspection, it calls `get_chatbot_details` to read its parameters. The agents then discuss whether the bot's knowledge base requires updates based on recent support trends.

Automate lead qualification and follow-ups

The `list_captured_leads` tool retrieves newly captured customer contacts for your AutoGen marketing agents. One agent drafts a personalized email while another checks the lead's inquiry details. If the agents need to test a bot's response to a specific lead profile, they call `chat_with_bot`. This allows them to simulate customer interactions and verify the bot's behavior before going live.

Setup guide

Set up BotGenuity 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 BotGenuity 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="BotGenuity_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You register the server using the StreamableHttpServerParams with your Vinkius URL. The McpToolAdapter automatically converts the BotGenuity tools for your AssistantAgent.

Yes. Your agents can call tools like `chat_with_bot` independently during their group chat to test different bot responses.

One agent can call `list_captured_leads` to pull the data, then hand it off to a writer agent to draft follow-up messages based on the captured details.

Yes. The AutoGen MCP extension supports both stdio and Streamable HTTP transports, making it easy to connect to your Vinkius-hosted server.

Your bot configurations retrieved via `get_chatbot_details` are processed entirely within your local AutoGen environment. Vinkius secures the API credentials and runs the MCP server in an ephemeral sandbox to prevent data leaks.

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