Porter PaaS MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Porter PaaS through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"porter-paas": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Porter PaaS Agent",
instructions:
"You help users interact with Porter PaaS " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Porter PaaS?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Porter PaaS tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Porter PaaS MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Porter PaaS via MCP
Why Use Mastra AI with the Porter PaaS MCP Server
Mastra AI provides unique advantages when paired with Porter PaaS through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Porter PaaS without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Porter PaaS tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Porter PaaS + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Porter PaaS MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Porter PaaS, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Porter PaaS as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Porter PaaS on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Porter PaaS tools alongside other MCP servers
Porter PaaS MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Porter PaaS to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Porter PaaS to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPorter PaaS + Mastra AI FAQ
Common questions about integrating Porter PaaS MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Porter PaaS with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.