How to Use the Cloudify MCP in AutoGen

Debate infrastructure changes by letting AutoGen agents negotiate using Cloudify tools.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cloudify MCP to AutoGen

Create your Vinkius account to connect Cloudify 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 Cloudify with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate blueprints with AutoGen

Multiple agents use `list_blueprints` to review your orchestration schemas. One agent might flag a configuration risk while another proposes a fix, forcing a debate before any change occurs. This ensures that every infrastructure decision is vetted by competing perspectives. The agents arrive at a consensus based on the actual blueprint data.

Negotiate deployments via AutoGen

Agents call `list_deployments` to challenge each other on current runtime states. They negotiate the best path for execution based on the structural topologies they discover. Your system benefits from this friction, catching errors that a single agent would miss. It creates a robust check on your cloud management process.

Analyze execution bounds in AutoGen

Use `list_executions` to let your agents monitor cluster limits during a conversation. If an agent detects a performance bottleneck, it triggers a discussion about shifting your resources. This turns your infrastructure monitoring into a collaborative process. The agents keep the cluster within its defined rules through constant dialogue.

Setup guide

Set up Cloudify 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 Cloudify 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="Cloudify_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use the MCP tool adapter to convert server tools into a list. Inject these tools into your AssistantAgent constructor to enable infrastructure negotiation.

Yes, that is the point of the framework. Agents debate the data returned by the tools to reach a decision on how to handle your infrastructure.

Your infrastructure data is isolated within the Vinkius sandbox. We use ephemeral sessions so no trace of your deployment remains after the agent discussion ends.

The server supports streamable HTTP transports. This allows your agents to get real-time updates during their debate sessions.

Agents access blueprint schemas, plugin capabilities, and node routing rules. All access is strictly audited, and we ensure your sensitive environment data is never cached.

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