How to Use the Aidbase MCP in AutoGen

Let your AutoGen agents debate and resolve support tickets using the Aidbase MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Aidbase MCP to AutoGen

Create your Vinkius account to connect Aidbase 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 Aidbase with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate ticket replies via Aidbase

Configure multiple agents to evaluate support queries. One agent uses `get_aidbase_inbox` to pull the ticket, while another reviews the `list_aidbase_chatbot_knowledge` to draft a response. They challenge each other's conclusions until they agree on the final answer. This prevents the agent from sending inaccurate or rushed support messages.

Manage your knowledge with MCP

Use an administrative agent to maintain your help desk. It can scan your current items with `list_aidbase_knowledge` and decide if old FAQs need updates. If the agents agree, they call `add_aidbase_faq_item` to push the change live. You oversee the process while the agents perform the work.

Monitor status with AutoGen

Keep your support pipeline healthy by assigning a monitoring agent. It periodically runs `check_aidbase_status` to ensure your API connection is active. If the status check fails, the agent alerts you immediately. It ensures your support operations remain uninterrupted.

Setup guide

Set up Aidbase 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 Aidbase 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="Aidbase_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Import the tools using the provided HTTP transport params. Once initialized, pass the tool list into your AssistantAgent definition.

Absolutely, that is the primary use case. You can set up one agent to draft a reply and a second agent to check that reply against your knowledge base before sending.

Yes, the server works fine with multiple agents. They share the tool definitions, allowing them to collaborate on tasks like inbox management and knowledge updates.

You can filter the tools passed to the AssistantAgent. Only provide the specific functions the agent needs to perform its assigned role in the debate.

The server keeps all chat logs and ticket data inside a secure Vinkius-hosted environment. Only your authorized AutoGen agents gain access to the data, with every call verified via your single endpoint token.

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