An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Zeabur Paas Deployment to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage your entire PaaS infrastructure through natural conversation.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 9 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-03

3 capabilities in this set.

Part of 9 available through Zeabur.

  1. 01

    Create upload stage

    This capability sets up an upload stage so you can deploy pre-packaged applications.

  2. 02

    Deploy template

    Use this to deploy a new service by providing a YAML specification template.

  3. 03

    Download file

    This capability pulls specific files directly from your service containers for inspection.

Capability set02 / 03

04-06

3 capabilities in this set.

Part of 9 available through Zeabur.

  1. 04

    Get build logs

    Get real-time build logs to see why a deployment is failing or succeeding.

  2. 05

    Send email

    This capability sends a single transactional email using your Zeabur Email token.

  3. 06

    Execute command

    Run shell commands inside your service containers to manage or inspect them.

Capability set03 / 03

07-09

3 capabilities in this set.

Part of 9 available through Zeabur.

  1. 07

    Prepare deployment

    This capability finalizes a deployment after you have uploaded your files.

  2. 08

    Schedule email

    Use this to set a specific time for a Zeabur Email to be sent.

  3. 09

    Send batch emails

    This capability sends personalized emails to multiple recipients at once via Zeabur Email.

Real work

What teams actually run

01

Rapid Prototyping

Deploy a new service from a YAML template to test an idea immediately.

02

Live Debugging

Run a command in a container to check environment variables or file structures.

03

Automated Notifications

Trigger personalized batch emails to users as part of a backend workflow.

04

Deployment Monitoring

Check build logs to identify why a specific deployment failed.

Automate a task

Put Zeabur to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Zeabur works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Zeabur to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

987ms average. Fast in production.

Zeabur is checked daily against the live service.

Daily averagePeak 1238ms
Oct 3Today
Fastest day
796ms
Slowest day
1238ms
14-day trend
Improving-17%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 9 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Zeabur, so you can see the experience inside your AI.

It does not authenticate your account with Zeabur. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Zeabur Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Zeabur capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "zeabur-paas-deployment-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Zeabur in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Zeabur owners hand off.

This MCP is built for technical teams who want to manage cloud resources without leaving their development environment.

  • 01

    DevOps Engineers

    They hand off service scaling and environment management to the agent.

  • 02

    Full-stack Developers

    They use it to deploy templates and check logs while writing code.

  • 03

    Backend Teams

    They automate transactional email sending and container file inspection.

FAQ

Questions Zeabur owners ask.

  • 01

    How do I connect my Zeabur account?

    You subscribe to the MCP on Vinkius and enter your Zeabur API Token. Once connected, your AI client can immediately start managing your resources.

  • 02

    Do I need a separate token for sending emails?

    Yes, if you want to use the email capabilities, you must provide a ZEABUR_EMAIL_TOKEN in the configuration.

  • 03

    Can I run shell commands in my containers?

    Yes, the execute_command capability allows your agent to run commands directly within your service containers.

  • 04

    Which AI clients can use this MCP?

    This MCP works with any compatible client, including Claude, Cursor, and Windsurf.

  • 05

    Can I deploy applications using ZIP files?

    Yes, you can use the create_upload_stage and prepare_deployment capabilities to handle the full lifecycle of ZIP deployments.

  • 06

    Can I run shell commands inside my running services?

    Yes! Use the execute_command capability by providing the Service ID, Environment ID, and the command array (e.g., ["ls", "-la"]). Your agent will return the output from the container.

  • 07

    How do I debug a failed deployment using this server?

    You can use the get_build_logs capability with the Project ID and Deployment ID. It will fetch the logs so your AI can analyze the errors and suggest fixes.

  • 08

    Does this support deploying pre-packaged ZIP files?

    Yes. First, use create_upload_stage to get a presigned URL and upload ID. After uploading your file, use prepare_deployment to trigger the actual deployment process.

Explore

More in Developer Tools

Suggestions

Connect Zeabur to Claude, Cursor, ChatGPT & more