Porter PaaS MCP Server for AutoGen 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
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.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Porter PaaS tools to solve complex tasks
Role-based architecture lets you assign Porter PaaS tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Porter PaaS tool calls
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.
Collaborative analysis: one agent queries Porter PaaS while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Porter PaaS, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Porter PaaS data to make informed decisions about resource distribution
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:
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
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
get_cluster
Inspect deep cloud credentials generating a specific K8s Cluster
get_project
Perform structural extraction of metadata linked to a Porter Project
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
list_clusters
Exposes crucial execution zones hosting absolute memory nodes. List underlying target cloud Kubernetes definitions bounds to Porter
list_environments
Extract logic isolation environments overlapping the Cluster
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
list_projects
Fetches indispensable integer `projectId` arrays coordinating everything strictly downstream inside AWS/GCP clusters. Identify base Porter PaaS organizational scopes
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.
"List all applications currently running in cluster ID 5 on the Production environment."
"The queue worker is completely hung. Please perform a forceful restart of the `async-worker` app."
"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.
McpWorkbench not found
pip install "autogen-ext[mcp]"Porter PaaS + AutoGen FAQ
Common questions about integrating Porter PaaS MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Porter PaaS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
