How to Use the Northflank (Developer Cloud & Orchestration) MCP in AutoGen

Q: How can I set up an AutoGen workflow for cleaning up old Northflank projects?

You can have a "Janitor" agent that periodically runs listprojects. It can then propose a list of deletion candidates to a "Manager" agent, which requires confirmation before the "Janitor" is allowed to execute deleteproject.

Q: Can I use Northflank (Developer Cloud & Orchestration) with AutoGen to create a secure deployment process?

Yes. Assign one agent the triggerbuild tool and another agent the listsecrets tool. The build agent can be forced to ask the secrets agent for permission, ensuring a review happens before any code goes live.

Q: What's a good multi-agent use case for Northflank (Developer Cloud & Orchestration) and AutoGen?

A classic example is a performance review. One agent uses getservice to check memory usage. If it's high, it suggests a restart, but another agent argues for a code fix, and a third agent checks listjobs to see if a background task is the real cause.

Q: Can the agents see all my projects and services?

Yes, the listprojects and listservices tools give them visibility into your Northflank account structure. You control which agent has access to which tool, letting you create roles like "Auditor" or "Operator."

Let your AutoGen agents debate and manage your Northflank infrastructure. Get consensus-driven decisions on deployments and maintenance.

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Connect Northflank (Developer Cloud & Orchestration) MCP to AutoGen

Create your Vinkius account to connect Northflank (Developer Cloud & Orchestration) 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 Northflank (Developer Cloud & Orchestration) with AutoGen

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Safer Deployments Through Agent Negotiation

Create a multi-agent team to handle releases. A "Deployer" agent can propose running `trigger_build`, but a "QA" agent can challenge it, first demanding to see the current configuration by calling `get_service`. A "Security" agent could intervene, checking for newly added secrets with `list_secrets` before giving its approval. The build only proceeds once the agents reach a consensus, preventing risky solo actions.

Collaborative Infrastructure Management with AutoGen

Task your agents with provisioning a new environment. One agent can call `create_project`, while another agent verifies the setup by calling `get_project` and checking the region and resource limits. If there's a problem, they don't just fail; they discuss it. The "DevOps" agent might suggest running `restart_service` on a dependency, while the "Finance" agent questions the cost implications, providing a more thoughtful outcome.

Automated Incident Response with an MCP Server

Set up a group of agents to monitor your system. An "Observer" agent can periodically run `list_jobs` and `list_services` to check for anomalies. If it spots a problem, it initiates a conversation. One agent might suggest a rollback, another might propose using `restart_service`, and a third could be tasked with notifying a human. This server gives them the tools they need to act.

Setup guide

Set up Northflank (Developer Cloud & Orchestration) 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 Northflank (Developer Cloud & Orchestration) 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="Northflank (Developer Cloud & Orchestration)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Northflank (Developer Cloud & Orchestration) data")
print(result.messages[-1].content)

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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="Northflank (Developer Cloud & Orchestration)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Northflank (Developer Cloud & Orchestration) 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 Northflank. 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.

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Common questions about Northflank (Developer Cloud & Orchestration) MCP in AutoGen

You can have a "Janitor" agent that periodically runs `list_projects`. It can then propose a list of deletion candidates to a "Manager" agent, which requires confirmation before the "Janitor" is allowed to execute `delete_project`.

Yes. Assign one agent the `trigger_build` tool and another agent the `list_secrets` tool. The build agent can be forced to ask the secrets agent for permission, ensuring a review happens before any code goes live.

A classic example is a performance review. One agent uses `get_service` to check memory usage. If it's high, it suggests a restart, but another agent argues for a code fix, and a third agent checks `list_jobs` to see if a background task is the real cause.

Yes, the `list_projects` and `list_services` tools give them visibility into your Northflank account structure. You control which agent has access to which tool, letting you create roles like "Auditor" or "Operator."

The connection is secured end-to-end. The MCP server only processes operational data like project names, service states, and job lists—never the actual content of your secrets. Each API call runs in a fresh, single-use V8 Isolate sandbox, ensuring no data ever leaks between requests.

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