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Defang MCP Server

@DefangLabs

RepositoryHomepage

Basic information

Category

Cloud & Infrastructure

Last updated

License

MIT

Transports

stdio

Author

DefangLabs

Submitted by

Kevin Vo

About Defang MCP Server

Defang CLI. Develop Once, Deploy Anywhere. Take your app from Docker Compose to a secure and scalable deployment on your favorite cloud in minutes.

#cloud#deployment#aws#gcp#do

Defang MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "defang": {
      "command": "npx",
      "args": [
        "-y",
        "defang@latest",
        "mcp",
        "serve"
      ]
    }
  }
}

Defang MCP Server tools

15

Create a defang stack file to deploy to AWS

Create a defang stack file to deploy to Azure

Create a defang stack file to deploy to GCP

Get the currently selected stack

Initiate deployment of the application stack defined in the docker-compose files in the current working directory

Destroy the deployed application in the selected stack, defined in the docker-compose files in the current working directory

Estimate the cost of deploying a Defang project to AWS or GCP

List config variables for the currently selected stack in the Defang project

List all the Defang stack(s) for the current project

Fetch logs for the application in the selected stack, in pages of up to 100 lines. You can use the 'since' and 'until' parameters to page through logs by time.

Get the current project name

Remove a config variable from the currently selected stack in the Defang project

Select the deployment stack for the Defang project

List deployed services for the selected project stack in the current working directory

Set a config variable for the currently selected stack in the Defang project

Overview

What is Defang?

The Defang MCP Server is an MCP server equipped with Defang tools (deploy, services, destroy) to help users manage their services seamlessly using AI coding agents within supported IDEs.

How to use Defang?

Install the npm package manager, then run npx -y defang@latest mcp setup --client=<your-ide> to connect to your IDE. After setup, start the server with npx -y defang@latest mcp serve. You can then access the Defang MCP tools through the AI agent chat in your IDE.

Key features of Defang

  • Offers three MCP tools: deploy, services, destroy.
  • Deploy scans for Dockerfiles and compose.yaml files.
  • Services displays deployed service details and status.
  • Destroy terminates all deployed services for a project.
  • Supports multiple IDEs: Cursor, Windsurf, Codex, VS Code, VS Code Insiders, and Claude Desktop.
  • Setup and serve via simple npx commands.

Use cases of Defang

  • Deploy services from a project directory using an AI coding agent.
  • Monitor deployed services' status, public URLs, and IDs.
  • Quickly tear down all services associated with a project.
  • Integrate service management into an AI-assisted development workflow.

Frequently asked questions

1

What IDEs are supported?

Supported IDEs include Cursor, Windsurf, Codex, VS Code, VS Code Insiders, and Claude Desktop.

2

What does the `deploy` tool do?

The `deploy` tool scans your project directory for Dockerfiles and `compose.yaml` files, then deploys the detected service(s) using Defang. Deployment progress can be monitored in the Defang Portal.

3

How do I set up the Defang MCP Server?

Run `npx -y defang@latest mcp setup --client=<your-ide>` for your preferred IDE, then start the server with `npx -y defang@latest mcp serve`.

4

What information does the `services` tool provide?

The `services` tool shows Service Name, Deployment ID, Public URL, and Service Status for all currently deployed services.

5

What does the `destroy` tool require?

Given a project name or directory, the `destroy` tool identifies and terminates all services deployed with Defang.

Comments

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