How do I get a Pulumi Access Token?

Log in to the [**Pulumi Console**](https://app.pulumi.com), go to **Account Settings > Access Tokens**, click **Create Token**, give it a name and copy the token immediately — it starts with `pul_` and won't be shown again.

What is a Pulumi stack?

A stack is an isolated, independently configurable instance of your Pulumi program. Stacks typically represent different environments like dev, staging and prod. Each stack has its own configuration, state, outputs and deployment history. Use list_stacks to discover all stacks in an organization.

Can I view the outputs of a stack?

Yes! Use `get_stack_outputs` with the org name, project name and stack name. It returns all exported output values from the latest successful deployment, such as URLs, IP addresses, resource IDs and connection strings. This is useful for discovering endpoint addresses after infrastructure deployment.

Pulumi MCP Server for Mastra AI 11 tools — connect in under 2 minutes

Name: Pulumi
Availability: InStock
Author: Vinkius

docs.mastra.ai/docs/agents/mcp-tools

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pulumi through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

typescript

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: {
      "pulumi": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Pulumi Agent",
    instructions:
      "You help users interact with Pulumi " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Pulumi?"
  );
  console.log(result.text);
}

main();

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 Pulumi MCP Server

Connect your Pulumi account to any AI agent and take full control of your infrastructure-as-code through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Pulumi tool infrastructure. Connect 11 tools through the 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

Organization Discovery — List organizations and retrieve their details, team settings and member info
Stack Management — List, create and delete stacks (infrastructure environments) across all your projects
Deployment Tracking — Monitor stack update history with status (succeeded, failed, in-progress), resource changes and error logs
Output Inspection — View exported output values from the latest deployment (URLs, IPs, resource IDs)
Tag Management — List and set custom tags on stacks for organization and filtering (environment, team, cost-center)

The Pulumi MCP Server exposes 11 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 Pulumi to Mastra AI via MCP

Follow these steps to integrate the Pulumi 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 11 tools from Pulumi via MCP

Why Use Mastra AI with the Pulumi MCP Server

Mastra AI provides unique advantages when paired with Pulumi through the Model Context Protocol.

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Pulumi 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 Pulumi 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

Pulumi + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Pulumi MCP Server delivers measurable value.

Automated workflows: build multi-step agents that query Pulumi, process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed Pulumi as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query Pulumi on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using Pulumi tools alongside other MCP servers

Pulumi MCP Tools for Mastra AI (11)

These 11 tools become available when you connect Pulumi to Mastra AI via MCP:

create_stack

A stack is an isolated, independently configurable instance of your Pulumi program. Requires the org name, project name and stack name (e.g. "staging", "prod"). Returns the created stack with its URL. Create a new Pulumi stack

delete_stack

The stack must be empty (no resources) or force deletion must be enabled. Provide the org name, project name and stack name. WARNING: this action is irreversible. Delete a Pulumi stack

get_current_user

Returns the user's GitHub login, avatar URL, email and name. Use this to verify your access token is working correctly and to see which identity the API calls will appear as. Get the currently authenticated Pulumi user

get_deployment

Provide the org name, project name, stack name and deployment version number. Get details for a specific Pulumi deployment

get_organization

Provide the organization name (slug). Get details for a specific Pulumi organization

get_stack

Provide the org name, project name and stack name. Get details for a specific Pulumi stack

get_stack_outputs

Outputs are values your Pulumi program exports, such as URLs, IP addresses, resource IDs and connection strings. Useful for discovering endpoint addresses and configuration values after infrastructure deployment. Get the exported output values from a Pulumi stack

list_deployments

Each deployment shows its version number, status (succeeded, failed, in-progress), start/end time, resource changes (created, updated, deleted) and the user who triggered it. Use this to audit infrastructure changes and track deployment success/failure patterns. List deployment history for a Pulumi stack

list_stack_tags

Tags are key-value metadata labels used for organizing, filtering and managing stacks (e.g. environment=prod, team=platform, cost-center=engineering). List tags on a Pulumi stack

list_stacks

Each stack represents an isolated, independently configurable instance of your infrastructure (e.g. dev, staging, prod). Returns stack name, project name, last update info, resource count and whether updates are in progress. List all stacks in a Pulumi organization

set_stack_tag

Tags are used for organizing, filtering and managing stacks (e.g. key="environment", value="prod", key="team", value="platform"). Provide the org name, project name, stack name, tag name and tag value. Set a tag on a Pulumi stack