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

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Vinkius supports streamable HTTP and SSE.

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Classic Setup·json
{
  "mcpServers": {
    "porter-paas": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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.

Cursor's Agent mode turns Porter PaaS into an in-editor superpower. Ask Cursor to generate code using live data from Porter PaaS and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor via MCP

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

01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

03

Save the file

Cursor will automatically detect the new MCP server

04

Start using Porter PaaS

Open Agent mode in chat and ask: "Using Porter PaaS, help me...". 10 tools available

Why Use Cursor with the Porter PaaS MCP Server

Cursor AI Code Editor provides unique advantages when paired with Porter PaaS through the Model Context Protocol.

01

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

02

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

03

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

04

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Porter PaaS + Cursor Use Cases

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

01

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

02

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

03

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

04

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Porter PaaS MCP Tools for Cursor (10)

These 10 tools become available when you connect Porter PaaS to Cursor 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 Cursor

Ready-to-use prompts you can give your Cursor 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 Cursor

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

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Porter PaaS + Cursor FAQ

Common questions about integrating Porter PaaS MCP Server with Cursor.

01

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
02

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
03

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
04

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

Connect Porter PaaS to Cursor

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