How to Use the GPTBots MCP in AutoGen

Let your AutoGen agents debate and execute GPTBots workflows.

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Connect GPTBots MCP to AutoGen

Create your Vinkius account to connect GPTBots 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 GPTBots with AutoGen

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Perplexity

Debate GPTBots tasks in AutoGen

Have your security agent review a `trigger_workflow` request before execution. Multiple agents challenge the plan to ensure it meets your criteria. This forces consensus before any action occurs. You avoid impulsive mistakes because the agents negotiate the best path forward.

Coordinate GPTBots agents with AutoGen

Use `send_bot_message` to have your agents talk to the platform directly. They handle the back-and-forth until the task is complete. It removes the need for manual oversight. You set the goal, and the swarm of agents handles the technical implementation details.

Verify GPTBots status in AutoGen

Call `query_workflow` to check if your tasks are finished. Your agents can then report back or retry if a process hangs. This adds a layer of intelligence to your monitoring. You know exactly when to intervene because the agents track the state for you.

Setup guide

Set up GPTBots 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 GPTBots 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="GPTBots_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent GPTBots 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 GPTBots. 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.

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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 GPTBots MCP in AutoGen

You register the MCP tools with your AssistantAgent instances. The agents then call the tools automatically during their conversation loop.

Yes, you can define a tool that kicks off a new agent group chat. This allows you to scale your decision-making processes.

The MCP adapter converts the server schemas to AutoGen-compatible function definitions automatically. You don't need to write custom glue code.

Permissions are managed at the Vinkius gateway level. Your agents only see the tools you explicitly expose to them in the configuration.

Data is transmitted in memory and cleared once the session terminates. We do not store your chat transcripts or database queries.

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

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