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Vinkius

Pulumi Connector for AI agents.

11 live capabilities

Manage cloud infrastructure and deployments through natural conversation.

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AI Agent

Why people use Pulumi

Pulumi for Cloud Infrastructure Management

This Connector changes that. You can just ask your AI agent to check the status or grab the output for you. It pulls the data directly into your conversation, so you stay focused on the work that matters.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get an AI-powered interface for your entire Pulumi infrastructure.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Incident Response

    A deployment fails and the engineer asks the agent to list_deployments to see the error logs and the user who triggered it.

  2. Real-world use case 02

    Resource Discovery

    A developer needs a database endpoint and asks the agent to get_stack_outputs for the production stack.

  3. Real-world use case 03

    Organization Auditing

    A platform lead asks the agent to list_stacks and list_stack_tags to ensure all teams are using the correct cost center labels.

Complete set · 11capabilities

The complete Pulumi capability set.

These are the exact actions your AI can choose when you ask it to work with Pulumi.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 11 available through Pulumi.

  1. 01 Capability

    Create stack

    Create a new, isolated instance of your Pulumi program with a unique name. This makes it easy to spin up new environments.

  2. 02 Capability

    Delete stack

    Remove a Pulumi stack that is empty or has force deletion turned on. This is a permanent action for cleaning up your environment.

  3. 03 Capability

    Get stack outputs

    List the exported values like URLs and IDs from a stack's latest deployment. This is great for finding endpoints.

  4. 04 Capability

    List stack tags

    Display all the key-value metadata tags currently applied to a stack. This helps you see how resources are categorized.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through Pulumi.

  1. 05 Capability

    List stacks

    List every stack in an organization with resource counts and update statuses. Use this to get a high level overview of your infrastructure.

  2. 06 Capability

    Set stack tag

    Add or update a specific metadata tag on a Pulumi stack. This helps you manage cost centers and team labels.

  3. 07 Capability

    Get current user

    Show the name, email, and GitHub login of the currently authenticated user. Use this to verify your connection is working.

  4. 08 Capability

    Get deployment

    Pull specific details for a single deployment version in a stack. This helps you audit specific changes.

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through Pulumi.

  1. 09 Capability

    Get organization

    Retrieve the settings and member info for a specific Pulumi organization. Use this to check team permissions.

  2. 10 Capability

    Get stack

    Provide the core details and current status for a specific Pulumi stack. Use this to see if an environment is healthy.

  3. 11 Capability

    List deployments

    Show the history of all deployments including status, changes, and the triggering user. This is perfect for auditing infrastructure history.

Set up in minutes

One URL. Then ask Pulumi to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Pulumi from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_v2N5nlYKKcBMg7t6tvswP5zOuY1KsfB14QgLHciO/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Pulumi, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Pulumi for the conversation.

Where the request belongs

Work Pulumi can move forward.

Built around the request

This is for the infrastructure engineers who are tired of digging through web consoles to find a single IP address or checking if a deployment actually succeeded. It's for anyone managing complex cloud environments who needs to move faster.

01

DevOps Engineer

Checks deployment logs and stack statuses during incidents without opening a browser.

02

Platform Engineer

Audits organization tags and manages stack creation for different teams.

03

Software Developer

Finds production endpoints and resource IDs quickly to integrate with their code.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Flystack logo
01 5 capabilities

Flystack

Manage cloud infrastructure. audit deployments, clusters, and metrics via AI.

View Connector
Flightcontrol (AWS PaaS Deployments) logo
02 24 capabilities

Flightcontrol (AWS PaaS Deployments)

Deploy and manage AWS infrastructure via Flightcontrol. list projects, manage environments, and scale services directly from any AI agent.

View Connector
Terraform Cloud (HCP) logo
03 42 capabilities

Terraform Cloud (HCP)

Manage infrastructure lifecycle via Terraform Cloud (HCP). list organizations, manage workspaces, trigger runs, and inspect state outputs directly from your AI agent.

View Connector
Cloudify logo
04 7 capabilities

Cloudify

Orchestrate cloud infrastructure via Cloudify. manage blueprints, deployments, and monitor workflow executions directly from any AI agent.

View Connector
Railway logo
05 11 capabilities

Railway

Manage cloud deployments via Railway. list projects, inspect services, track deployments and manage variables and volumes from any AI agent.

View Connector
Scaleway logo
06 3 capabilities

Scaleway

Manage Scaleway cloud infrastructure. list, create, and control virtual instances directly from your AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Pulumi connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Pulumi.

The practical details behind the request, access and result.

What can I do with the Pulumi MCP?

You can use your AI agent to manage your cloud infrastructure directly. This includes listing stacks, creating new environments, checking deployment histories, and pulling exported resource values like URLs and IP addresses.

How do I use Pulumi MCP to check my cloud status?

You can simply ask your AI agent to check the status of a specific stack or list all your stacks. It will pull the latest data from Pulumi and summarize the resource counts and update statuses for you.

Can the Pulumi MCP help with infrastructure tagging?

Yes, it allows you to set and list metadata tags on your stacks. You can use your AI agent to apply labels like cost centers or team names to keep your infrastructure organized.

How does Pulumi MCP handle deployment history?

The Connector can retrieve a list of all past deployments for a stack. It shows you the version number, success status, the time it happened, and which user triggered the change.

Can I use Pulumi MCP to find my production endpoints?

Exactly. You can ask your agent to fetch the exported outputs from your production stack, and it will provide you with the specific URLs, IDs, and connection strings you need.

Is the Pulumi MCP safe for managing my stacks?

It uses your Pulumi Access Token to perform actions. You have full control over what the AI does, and you can verify your identity and permissions before running any commands.

How do I get a Pulumi Access Token?

Log in to the Pulumi Console, 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 see the deployment history of a stack?

Yes! Use list_deployments with the org name, project name and stack name. It returns the update history showing version number, status (succeeded, failed, in-progress), start/end time and resource change counts. Use get_deployment with a specific version for detailed logs and error messages.

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.

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Give your agent a direct line to Pulumi.

Connect Pulumi once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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