Zeabur (PaaS Deployment) Connector for AI agents.
9 live capabilities
Manage cloud infrastructure and automated deployments through natural conversation.
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Why people use Zeabur (PaaS Deployment)
Zeabur PaaS Deployment for Automated Cloud Management
With this Connector, you stay in your primary workspace. You can tell your agent to deploy a template, check a log, or send a batch of emails. It handles the API calls and gives you the results back in the chat window.
What Vinkius changes
You get a conversational interface for your entire Zeabur cloud infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging a failed build
A developer asks why a deployment failed.
- Real-world use case 02
Sending a welcome series
A backend dev asks the agent to send 500 personalized emails.
- Real-world use case 03
Inspecting a production file
An engineer needs to see a config file in a running container.
Complete set · 9capabilities
The complete Zeabur (PaaS Deployment) capability set.
These are the exact actions your AI can choose when you ask it to work with Zeabur (PaaS Deployment).
01—03
3 capabilities in this set.
Part of 9 available through Zeabur (PaaS Deployment).
- 01 Capability
Create upload stage
Sets up a place to upload files for your application. This is the first step for pre-packaged deployments.
- 02 Capability
Deploy template
Launches a new service using a YAML specification. It makes starting new projects much faster.
- 03 Capability
Download file
Grabs a specific file out of a service container. This helps you inspect files without manual SSH.
04—06
3 capabilities in this set.
Part of 9 available through Zeabur (PaaS Deployment).
- 04 Capability
Execute command
Runs a shell command inside a container. You can use this to check environments or run scripts.
- 05 Capability
Get build logs
Pulls the latest logs from a deployment. It helps you see exactly why a build failed.
- 06 Capability
Send email
Sends a single transactional email immediately. Use this for things like password resets or receipts.
07—09
3 capabilities in this set.
Part of 9 available through Zeabur (PaaS Deployment).
- 07 Capability
Prepare deployment
Gets a deployment ready after you've uploaded a file. It handles the final steps needed before launch.
- 08 Capability
Schedule email
Sets a future time for an email to be sent via Zeabur. This is perfect for delayed notifications.
- 09 Capability
Send batch emails
Sends out multiple personalized emails at once. It's the fastest way to handle bulk communications.
Set up in minutes
One URL. Then ask Zeabur (PaaS Deployment) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Zeabur (PaaS Deployment) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Zeabur (PaaS Deployment), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Zeabur (PaaS Deployment) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Zeabur (PaaS Deployment) URL.
- Step 03
Save and start
Save the connection and enable Zeabur (PaaS Deployment) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"zeabur-paas-deployment": {
"url": "https://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Zeabur (PaaS Deployment)
Open Agent mode in chat and ask: "Using Zeabur (PaaS Deployment), help me...". 9 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"zeabur-paas-deployment": {
"url": "https://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Zeabur (PaaS Deployment)
Ask Copilot: "Using Zeabur (PaaS Deployment), help me...". 9 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"zeabur-paas-deployment": {
"url": "https://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Zeabur (PaaS Deployment)
Open Cascade and ask: "Using Zeabur (PaaS Deployment), help me...". 9 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"zeabur-paas-deployment": {
"url": "https://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Zeabur (PaaS Deployment)
Ask Cline: "Using Zeabur (PaaS Deployment), help me...". 9 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add zeabur-paas-deployment --transport http "https://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Zeabur (PaaS Deployment)
Ask Claude: "Using Zeabur (PaaS Deployment), show me...". 9 tools are ready
Where the request belongs
Work Zeabur can move forward.
This is for the engineer who is tired of jumping between the CLI, the dashboard, and their email provider just to keep a production app running.
DevOps Engineer
Automate service scaling and environment management without leaving the chat.
Full-stack Developer
Deploy templates and check build logs directly from the code editor.
Backend Team Member
Integrate transactional email sending into automated deployment workflows.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsRender
Automate your PaaS infrastructure via Render. list your services, deploy code, check logs, and scale resources directly from any AI agent.
Railway
Manage cloud deployments via Railway. list projects, inspect services, track deployments and manage variables and volumes from any AI agent.
Northflank (Developer Cloud & Orchestration)
Manage cloud infrastructure via Northflank. deploy microservices, trigger CI builds, and audit background jobs.
Clever Cloud (Developer PaaS API)
Manage your Clever Cloud infrastructure—apps, add-ons, and deployments—directly from your AI agent.
Flystack
Manage cloud infrastructure. audit deployments, clusters, and metrics via AI.
Rancher
Equip your AI to manage Kubernetes environments directly through Rancher, overseeing clusters, namespaces, and active pods.
Bring your own AI
Change the model, client or framework. Keep Zeabur connected.
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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 Zeabur.
The practical details behind the request, access and result.
Can I use Zeabur PaaS Deployment MCP to send emails?
Yes. You can send single transactional emails or handle batch personalized emails directly through your agent.
How does the Zeabur PaaS Deployment MCP handle container commands?
It allows your agent to execute shell commands inside your service containers, making it easy to check environments or run scripts.
Can I deploy new services using YAML with Zeabur PaaS Deployment MCP?
Yes. You can provide a YAML specification to your agent, and it will use the deployment capabilities to launch the service for you.
Is the Zeabur PaaS Deployment MCP good for debugging?
It's excellent for debugging. Your agent can fetch real-time build logs so you can see exactly why a deployment failed without leaving your chat.
Can I use Zeabur PaaS Deployment MCP to manage my cloud infrastructure?
Yes. It provides a way to manage your Zeabur PaaS resources, including container management and deployment workflows, via natural language.
How do I get files out of my containers using Zeabur PaaS Deployment MCP?
The agent can download specific files from your service containers for you, which is great for inspecting configuration or logs.
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.
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.
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.
One connection away
Give your agent a direct line to Zeabur.
Connect Zeabur once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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