How to Use the Bot9 MCP in AutoGen

Q: How do I add Bot9 tools to an AutoGen agent?

Use the mcpservertools function to generate the list. You then pass that list directly into the AssistantAgent constructor.

Enable multi-agent debate with Bot9 in AutoGen to resolve complex support tickets through team consensus.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Bot9 MCP to AutoGen

Create your Vinkius account to connect Bot9 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 Bot9 with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate Bot9 tasks in AutoGen

Assign one agent to `list_conversations` and another to `send_message`. They discuss the best response before taking action. This stops your agent from making snap decisions. They review the context together and agree on the correct reply.

Negotiate Bot9 settings in AutoGen

Have a security agent challenge `create_bot` requests while a performance agent pushes for deployment. They negotiate until they find the right configuration. It brings human-like deliberation to your bot management. You get a balanced outcome that satisfies multiple requirements.

Automate Bot9 with AutoGen agents

Use the McpToolAdapter to let your agents call `add_data_source` as part of their workflow. They handle the training process autonomously. It takes the manual work out of keeping your bots updated. Your agents verify the source and add it to the bot without your input.

Setup guide

Set up Bot9 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 Bot9 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="Bot9_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Bot9 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="Bot9_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Bot9 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 Bot9. 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 Bot9 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 Bot9 MCP in AutoGen

Absolutely. You can set up two agents to analyze the same conversation history and debate the best way to respond.

Use the mcp_server_tools function to generate the list. You then pass that list directly into the AssistantAgent constructor.

Yes, the server works with any number of agents. Each agent can call the tools independently or as part of a group chat.

The server handles the state. Your agents just send the commands and receive the current status of your bots.

Every request is authenticated via your endpoint token. The agents only access the logs and bots you explicitly permit them to see.

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

Start using the Bot9 MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started