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Connect Porter Paas to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run and manage your entire infrastructure through chat.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Porter.

  1. 01

    Get app

    Analyzes a specific App to pull CPU metrics, RAM limits, and internal registry image hashes.

  2. 02

    Get project

    Extracts all metadata and structural information linked to a specific Porter Project.

  3. 03

    List apps

    Identifies all deployed Applications within a Cluster, including their routing identities and subdomains.

  4. 04

    List helm releases

    Lists the underlying Helm configurations within a namespace to verify third-party stack deployments.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Porter.

  1. 05

    Deploy app tag

    Forces a new deployment by assigning a specific Docker registry digest or tag to an application.

  2. 06

    Get cluster

    Inspects the cloud credentials and configuration used to generate a specific K8s Cluster.

  3. 07

    List clusters

    Provides a list of all target cloud Kubernetes definitions managed by Porter.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Porter.

  1. 08

    List environments

    Retrieves the different logic isolation environments configured across a Cluster.

  2. 09

    List projects

    Fetches the list of Porter PaaS organizational scopes and their associated project IDs.

  3. 10

    Restart app

    Triggers the Kubernetes API to bounce the deployment replicas for a specific application.

Real work

What teams actually run

01

Rapid Hotfixes

Deploy a specific Docker tag to a production app immediately after a build finishes.

02

Incident Response

Restart a hung application service without navigating through a web console.

03

Resource Auditing

Check the specific RAM limits and CPU metrics for an application to troubleshoot scaling issues.

04

Stack Verification

Verify that dependent services like Postgres or Redis were installed correctly using Helm inspections.

Automate a task

Put Porter to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Porter works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Porter to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

931ms average. Fast in production.

Porter is checked daily against the live service.

Daily averagePeak 1204ms
Oct 3Today
Fastest day
805ms
Slowest day
1204ms
14-day trend
Improving-13%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Porter, so you can see the experience inside your AI.

It does not authenticate your account with Porter. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Porter Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_97HRl70OC90xV4WamIvMCoFpPgzxIQZ45L5KjFmm/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Porter capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "porter-paas-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_97HRl70OC90xV4WamIvMCoFpPgzxIQZ45L5KjFmm/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Porter in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Porter owners hand off.

This MCP is built for technical teams who manage containerized workloads on Porter and want to move faster.

  • 01

    DevOps Engineers

    They use the agent to quickly restart crashing services or audit cluster architecture.

  • 02

    Backend Developers

    They hand off deployment tasks like rolling back image tags to the AI.

  • 03

    Engineering Leads

    They use the agent to instantly inspect resource mapping and staging environments.

FAQ

Questions Porter owners ask.

  • 01

    Do I need to install kubectl or cloud CLIs?

    No. This MCP handles the interaction with the Porter API directly, so you don't need to manage KUBECONFIG files or local CLI capabilities.

  • 02

    Which AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Can I roll back a deployment using this capability?

    Yes. You can use the deploy_app_tag capability to force an application to use a previous Docker image tag.

  • 04

    Is my Porter API token secure?

    Yes. Vinkius hosts and manages the MCP, ensuring your credentials are handled securely to maintain your connection.

  • 05

    Can I see my database status through the AI?

    Yes. You can use the list_helm_releases capability to check the status of third-party applications like Postgres or Redis deployed in your namespace.

  • 06

    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.

  • 07

    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.

  • 08

    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.

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