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Vinkius

Porter PaaS MCP Server for AutoGen 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Porter PaaS as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="porter_paas_agent",
            tools=tools,
            system_message=(
                "You help users with Porter PaaS. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Porter PaaS
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Porter PaaS MCP Server

Connect your Porter account to any AI agent and take full programmatic control over your Kubernetes infrastructure natively.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Porter PaaS tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

  • Projects & Clusters — List high-level organizational bounds, EKS/GKE clusters, and deployment zones
  • Applications & Environments — Map staging/production namespaces, check active web services, and resolve container requirements
  • Operations — Restart app pods gracefully or forcefully deploy specific image tags when resolving CI/CD breaks
  • Helm Inspections — Check low-level Helm charts behind active components (like Postgres or Redis)

The Porter PaaS MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Porter PaaS to AutoGen via MCP

Follow these steps to integrate the Porter PaaS MCP Server with AutoGen.

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 10 tools from Porter PaaS automatically

Why Use AutoGen with the Porter PaaS MCP Server

AutoGen provides unique advantages when paired with Porter PaaS through the Model Context Protocol.

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Porter PaaS tools to solve complex tasks

02

Role-based architecture lets you assign Porter PaaS tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive Porter PaaS tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes Porter PaaS tool responses in an isolated environment

Porter PaaS + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Porter PaaS MCP Server delivers measurable value.

01

Collaborative analysis: one agent queries Porter PaaS while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from Porter PaaS, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using Porter PaaS data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process Porter PaaS responses in a sandboxed execution environment

Porter PaaS MCP Tools for AutoGen (10)

These 10 tools become available when you connect Porter PaaS to AutoGen via MCP:

01

deploy_app_tag

Assigns a raw docker registry digest/tag directly causing Kubernetes to perform an absolute image pull orchestrating a fresh deployment state spanning replica boundaries. Forcefully mutate the executed Docker image running internally

02

get_app

Includes explicit CPU metrics requested, RAM limits mapped locally to the JVM/Node instances, and internal registry image hashes resolving at runtime. Analyze architectural bindings orchestrating a specific App

03

get_cluster

Inspect deep cloud credentials generating a specific K8s Cluster

04

get_project

Perform structural extraction of metadata linked to a Porter Project

05

list_apps

Discovers precisely which App routing identities expose `porter.run` subdomains or linked target custom apex mappings. Inventory deployed discrete Applications mapping to a Cluster

06

list_clusters

Exposes crucial execution zones hosting absolute memory nodes. List underlying target cloud Kubernetes definitions bounds to Porter

07

list_environments

Extract logic isolation environments overlapping the Cluster

08

list_helm_releases

Vital for verifying if dependent third-party apps (e.g. Postgres databases or Metabase) deployed aside the primary stack succeeded during installation phases. List underlying operational Helm configurations inside a namespace

09

list_projects

Fetches indispensable integer `projectId` arrays coordinating everything strictly downstream inside AWS/GCP clusters. Identify base Porter PaaS organizational scopes

10

restart_app

Mandatory during severe connection leakage scenarios impacting native processes without modifying the fundamental code layer deployment tag. Instruct the Kubernetes API to bounce the App deployment replicas

Example Prompts for Porter PaaS in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Porter PaaS immediately.

01

"List all applications currently running in cluster ID 5 on the Production environment."

02

"The queue worker is completely hung. Please perform a forceful restart of the `async-worker` app."

03

"We just built a hotfix on main. Deploy the image tag `d83a1b1` strictly onto `portal-frontend`."

Troubleshooting Porter PaaS MCP Server with AutoGen

Common issues when connecting Porter PaaS to AutoGen through the Vinkius, and how to resolve them.

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Porter PaaS + AutoGen FAQ

Common questions about integrating Porter PaaS MCP Server with AutoGen.

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Porter PaaS tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Porter PaaS to AutoGen

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.