How to Use the Clever Cloud (Developer PaaS API) MCP in AutoGen

Q: How do I connect Clever Cloud (Developer PaaS API) to AutoGen?

Install autogen-extmcp. Use mcpservertools with your Vinkius HTTP endpoint to generate the tool list. Pass that list directly to your AssistantAgent constructor.

Q: How do AutoGen agents handle Clever Cloud (Developer PaaS API) errors?

If a tool like createorganization fails, the error returns to the chat. The agents will discuss the failure reason, adjust the payload, and try again automatically.

Q: Can I restrict which AutoGen agent triggers deployments?

You define the tool list per agent. Give triggerdeployment only to a highly trusted executor agent that requires a human-in-the-loop approval step.

Give your AutoGen agents the ability to debate and execute PaaS deployments using this MCP Server.

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Connect Clever Cloud (Developer PaaS API) MCP to AutoGen

Create your Vinkius account to connect Clever Cloud (Developer PaaS API) 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 Clever Cloud (Developer PaaS API) with AutoGen

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Perplexity

Multi-agent Clever Cloud (Developer PaaS API) control

Infrastructure decisions usually require multiple perspectives. You can build an AutoGen system where a dev agent proposes changes while an ops agent reviews them. They use `list_applications` to inspect the current state before doing anything. The agents debate the safest rollout strategy. Once they reach consensus, the execution agent takes over and fires `trigger_deployment`. This prevents single-point failures in automated operations.

Negotiate resource provisioning

Spinning up new databases costs money. A financial agent can monitor your current usage by running `list_addons` and `list_instances`. It checks the baseline before approving new requests. When a developer agent asks for a new environment, they argue their case. If approved, the system calls `create_application` and `provision_addon` through this MCP Server to build the stack.

Collaborative incident response

Outages require fast, coordinated action. You can assign one agent to pull error data using `get_application_logs` while another investigates the specific app settings via `get_application`. They share findings in the conversation thread. If they determine an app is stuck, they might agree to restart it or spin up a fresh copy using `create_application` in a different region.

Setup guide

Set up Clever Cloud (Developer PaaS API) 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 Clever Cloud (Developer PaaS API) 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="Clever Cloud (Developer PaaS API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Clever Cloud (Developer PaaS API) 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="Clever Cloud (Developer PaaS API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Clever Cloud (Developer PaaS API) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Clever Cloud (Developer PaaS API) MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with your Vinkius HTTP endpoint to generate the tool list. Pass that list directly to your `AssistantAgent` constructor.

Yes. You provide the generated tools to any agent that needs infrastructure access. A reviewer agent might only need read tools, while an executor gets the full set from the MCP Server.

If a tool like `create_organization` fails, the error returns to the chat. The agents will discuss the failure reason, adjust the payload, and try again automatically.

You define the tool list per agent. Give `trigger_deployment` only to a highly trusted executor agent that requires a human-in-the-loop approval step.

The server accesses your account metadata, including app names, addon configurations, and deployment states. Vinkius runs this MCP integration in an isolated V8 sandbox, ensuring your endpoint token remains secure.

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