Porter PaaS MCP Server
Orchestrate Kubernetes clusters via Porter — manage apps, projects, container tags, and enforce rollouts directly with your AI.
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What is the Porter MCP Server?
The Porter MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Porter via 10 tools. Orchestrate Kubernetes clusters via Porter — manage apps, projects, container tags, and enforce rollouts directly with your AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Porter
Ask your AI agent "List all applications currently running in cluster ID 5 on the Production environment." and get the answer without opening a single dashboard. With 10 tools connected to real Porter data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Porter PaaS MCP Server capabilities
10 toolsAssigns 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
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
Inspect deep cloud credentials generating a specific K8s Cluster
Perform structural extraction of metadata linked to a Porter Project
Discovers precisely which App routing identities expose `porter.run` subdomains or linked target custom apex mappings. Inventory deployed discrete Applications mapping to a Cluster
Exposes crucial execution zones hosting absolute memory nodes. List underlying target cloud Kubernetes definitions bounds to Porter
Extract logic isolation environments overlapping the Cluster
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
Fetches indispensable integer `projectId` arrays coordinating everything strictly downstream inside AWS/GCP clusters. Identify base Porter PaaS organizational scopes
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
What the Porter PaaS MCP Server unlocks
Connect your Porter account to any AI agent and take full programmatic control over your Kubernetes infrastructure natively.
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)
How it works
1. Subscribe to this server
2. Enter your Porter API Token
3. Start managing your clusters straight from Claude, Cursor, or any MCP client
No pulling KUBECONFIG files, authenticating via cloud CLI tools, or navigating dashboards. Your orchestration lives in chat.
Who is this for?
- DevOps Engineers — quickly restart crashing services and audit cluster architectures on the fly
- Backend Developers — rollback image tags and orchestrate quick deployments directly from standard chat
- Engineering Leads — inspect resource mapping and isolate distinct staging environments instantly
Frequently asked questions about the Porter PaaS MCP Server
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 tool, 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.
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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.
Give your AI agents the power of Porter MCP Server
Production-grade Porter PaaS MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.