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Vinkius

Porter PaaS Connector for AI agents.

10 live capabilities

Manage Kubernetes clusters and deployments via natural language.

Live agent request Porter PaaS / Connector

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AI Agent

Why people use Porter PaaS

Porter PaaS Kubernetes Cluster Management

This Connector puts those actions into your chat. You can ask your agent to restart a service or list your active projects, getting the info you need in seconds without switching tabs.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get full Kubernetes management via chat without ever touching a KUBECONFIG file.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Fixing a hanging worker

    A queue worker hangs and the dev uses restart_app to bounce the pods immediately without searching for the correct pod name or terminal.

  2. Real-world use case 02

    Emergency hotfix rollback

    A bad tag goes live; the dev uses deploy_app_tag to force the previous stable image and restore service in seconds.

  3. Real-world use case 03

    Infrastructure auditing

    An engineering lead uses list_clusters and list_projects to map out all production environments during a security audit.

Complete set · 10capabilities

The complete Porter PaaS capability set.

These are the exact actions your AI can choose when you ask it to work with Porter PaaS.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through Porter PaaS.

  1. 01 Capability

    Deploy app tag

    Assigns a raw docker registry digest or tag to force a fresh deployment state. This ensures the cluster pulls the correct image.

  2. 02 Capability

    Get app

    Pulls CPU metrics, RAM limits, and internal image hashes for a specific app. Use this to debug resource issues.

  3. 03 Capability

    Get cluster

    Inspects the deep cloud credentials and configuration for a K8s cluster. It helps you understand your underlying infrastructure.

  4. 04 Capability

    Get project

    Extracts the metadata linked to a specific Porter project. This gives you a high level view of your project scope.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through Porter PaaS.

  1. 05 Capability

    List apps

    Shows which apps are exposing porter.run subdomains or custom apex mappings. It is great for inventorying your live services.

  2. 06 Capability

    List clusters

    Lists the target cloud Kubernetes definitions and memory nodes. Use this to see your available execution zones.

  3. 07 Capability

    List environments

    Pulls the logic isolation environments for a specific cluster. This helps you distinguish between staging and production.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through Porter PaaS.

  1. 08 Capability

    List projects

    Fetches the project IDs coordinating your AWS or GCP clusters. It identifies your base organizational scopes.

  2. 09 Capability

    List helm releases

    Lists the operational Helm configurations inside a specific namespace. This is vital for checking third party apps like Postgres.

  3. 10 Capability

    Restart app

    Tells the Kubernetes API to bounce the app deployment replicas. This is the fastest way to clear connection leaks.

Set up in minutes

One URL. Then ask Porter PaaS to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Porter PaaS from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_97HRl70OC90xV4WamIvMCoFpPgzxIQZ45L5KjFmm/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Porter PaaS, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Porter PaaS for the conversation.

Where the request belongs

Work Porter can move forward.

Built around the request

This is for the DevOps engineer who is tired of clicking through dashboards at 2am or the backend dev who needs to roll back a hotfix without leaving their IDE.

01

DevOps Engineer

Restarts crashing services and audits cluster architectures on the fly to keep production stable.

02

Backend Developer

Rolls back image tags and orchestrates deployments from a standard chat to move faster.

03

Engineering Lead

Inspects resource mapping and isolates staging environments instantly to oversee team progress.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Rancher logo
01 10 capabilities

Rancher

Equip your AI to manage Kubernetes environments directly through Rancher, overseeing clusters, namespaces, and active pods.

View Connector
Argo CD (GitOps) logo
02 13 capabilities

Argo CD (GitOps)

Manage Kubernetes deployments via Argo CD. sync applications, check logs, and manage clusters/repositories directly from your AI agent.

View Connector
Qovery logo
03 10 capabilities

Qovery

Bring effortless Kubernetes and cloud deployment management to your IDE. List environments, check application states, restart pods, and deploy exact Git commits via chat.

View Connector
Portainer logo
04 6 capabilities

Portainer

Manage Docker containers and environments via Portainer. list, create, and start containers directly from your AI agent.

View Connector
Argo Workflows logo
05 6 capabilities

Argo Workflows

Automate Kubernetes orchestrations via Argo Workflows. monitor, list, and inspect active pods, crons, and workflow templates directly from any AI agent.

View Connector
Civo (Cloud-native Kubernetes Cloud Provider API) logo
06 33 capabilities

Civo (Cloud-native Kubernetes Cloud Provider API)

Manage Civo cloud infrastructure. provision Kubernetes clusters, control compute instances, and monitor usage directly via AI.

View Connector

Bring your own AI

Change the model, client or framework. Keep Porter connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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  • Continue
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Before you connect

Questions about Porter.

The practical details behind the request, access and result.

Can Porter PaaS MCP manage my EKS clusters?

Yes, it provides programmatic control over EKS and GKE clusters hosted on Porter. You can list them, inspect their credentials, and manage the apps inside them via your AI agent.

How do I use Porter PaaS MCP to restart an app?

You can simply ask your agent to restart a specific app by name. It will instruct the Kubernetes API to bounce the replicas for you without changing any of your underlying code or tags.

Does Porter PaaS MCP support Helm charts?

Yes, it can list the operational Helm configurations inside a namespace. This is especially useful for verifying that third party apps like Postgres or Redis were installed correctly.

Can I use Porter PaaS MCP to roll back a deployment?

You can use it to force a specific image tag or digest onto an application. This allows you to roll back to a previous stable version instantly through a chat command.

Is Porter PaaS MCP safe for production?

Yes, it uses your Porter API Token to perform authorized actions. It gives your AI agent the ability to perform specific operations like restarting pods or listing projects based on the permissions you grant.

Can my AI automatically deploy an urgent hotfix tag?

Yes. If a specific commit tag needs to be rolled out bypassing regular CI delays, simply command the AI to deploy_app_tag providing the target container suffix. It issues direct orchestration commands triggering an absolute image update inside Kubernetes immediately.

Can the agent check internal Helm variables for external addons?

Absolutely. Using the list_helm_releases capability, your agent analyzes raw orchestrator chart variables inside the cluster's namespace. It is invaluable for diagnosing why your Postgres Helm initialization is misbehaving.

Is it safe to orchestrate infrastructure boundaries with AI?

Yes! The token you provide is inherently scoped to the exact projects authorized in the Porter Dashboard. The AI strictly respects the platform's isolation, ensuring you only restart or query bounded namespace assets.

One connection away

Give your agent a direct line to Porter.

Connect Porter once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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