Can I train my bot with a new URL through the agent?

Yes! Use the `add_data_source` tool and provide the Bot ID and the target URL. The bot will automatically scrape and learn from that page.

How do I review the chat history of a specific user conversation?

First, use `list_conversations` to find the active sessions. Then, use `get_conversation_history` with the Conversation ID to retrieve the full log of messages.

Does the integration allow me to create a completely new bot?

Yes. Use the `create_bot` action and provide a name and a system prompt/instructions. The bot will be instantly created in your account.

Bot9 MCP Server for AutoGen 8 tools — connect in under 2 minutes

Name: Bot9
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Bot9 as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="bot9_agent",
            tools=tools,
            system_message=(
                "You help users with Bot9. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Bot9 MCP Server

Connect your Bot9 account to any AI agent and orchestrate your customer support and conversational automation workflows through natural language.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Bot9 tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Bot Management — List all configured AI bots, retrieve specific configurations, and create new bots on the fly.
Training & Data Sources — List existing knowledge base sources and dynamically add new URLs for your bots to learn from.
Conversation Oversight — Retrieve active conversation lists and export historical chat logs for analysis.
Message Automation — Send messages to your bots programmatically to test responses or simulate user interactions.

The Bot9 MCP Server exposes 8 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Bot9 to AutoGen via MCP

Follow these steps to integrate the Bot9 MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 8 tools from Bot9 automatically

Why Use AutoGen with the Bot9 MCP Server

AutoGen provides unique advantages when paired with Bot9 through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Bot9 tools to solve complex tasks

Role-based architecture lets you assign Bot9 tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Bot9 tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Bot9 tool responses in an isolated environment

Bot9 + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Bot9 MCP Server delivers measurable value.

Collaborative analysis: one agent queries Bot9 while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Bot9, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Bot9 data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Bot9 responses in a sandboxed execution environment

Bot9 MCP Tools for AutoGen (8)

These 8 tools become available when you connect Bot9 to AutoGen via MCP:

add_data_source

Add a URL to train the bot

create_bot

Create a new AI chatbot

get_bot

Get details of a specific bot

get_conversation_history

Retrieve message history of a conversation

list_bots

List all AI bots

list_conversations

List active conversations for a bot

list_data_sources

List knowledge base sources for a bot

send_message

Send a message to a bot and get a response

Example Prompts for Bot9 in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Bot9 immediately.

"List all bots in my Bot9 account."

"Add the URL https://example.com/pricing to bot_123's knowledge base."

"Get the chat history for conversation conv_789 on bot_123."

Troubleshooting Bot9 MCP Server with AutoGen

Common issues when connecting Bot9 to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Bot9 + AutoGen FAQ

Common questions about integrating Bot9 MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Bot9 tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.