# Docker Mcp (`salesmart-srl/docker-mcp`) Actor

MCP server for Docker Engine. List, start, stop and restart containers. View logs, pull images,
manage volumes and networks. Works with Claude, Cursor and any MCP-compatible AI assistant. Connect
to local or remote Docker daemon.

- **URL**: https://apify.com/salesmart-srl/docker-mcp.md
- **Developed by:** [Salesmart Srl](https://apify.com/salesmart-srl) (community)
- **Categories:** MCP servers, Developer tools, Other
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Docker MCP Server

MCP server for Docker Engine integration on Apify. Manage containers, images, volumes, and networks.

### Tools

- `list_containers` - List containers (running or all)
- `get_container` - Get container details
- `start_container` - Start a container
- `stop_container` - Stop a container
- `restart_container` - Restart a container
- `container_logs` - Get container logs
- `list_images` - List images
- `pull_image` - Pull image from registry
- `list_volumes` - List volumes
- `list_networks` - List networks

### Authentication

Set environment variables:

- `DOCKER_HOST` - Docker daemon socket/URL (default: `unix:///var/run/docker.sock`)
- `DOCKER_TLS_VERIFY` - Set to `1` to enable TLS
- `DOCKER_CERT_PATH` - Path to TLS certificates

### Local Development

```bash
npm install
npm run build
DOCKER_HOST='unix:///var/run/docker.sock' npm start
```

### Deploy to Apify

```bash
apify login
apify push
```

Then enable "Standby mode" in Apify Console.

### Usage

MCP endpoint: `https://your-username--docker-mcp.apify.actor/mcp`

### Note

This server connects to a Docker daemon. For Apify deployment, you'll need to configure a remote Docker host accessible from the internet.

# Actor input Schema

## `DOCKER_HOST` (type: `string`):

Docker daemon socket/URL (e.g., unix:///var/run/docker.sock or tcp://localhost:2375)

## `DOCKER_TLS_VERIFY` (type: `string`):

Enable TLS verification (set to '1' to enable)

## `DOCKER_CERT_PATH` (type: `string`):

Path to TLS certificates directory

## Actor input object example

```json
{
  "DOCKER_HOST": "unix:///var/run/docker.sock"
}
```

# Actor output Schema

## `mcpEndpoint` (type: `string`):

SSE endpoint for MCP protocol connection

## `healthCheck` (type: `string`):

Health check endpoint to verify server status

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("salesmart-srl/docker-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("salesmart-srl/docker-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call salesmart-srl/docker-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,salesmart-srl/docker-mcp"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/phTUT0yNydUyH1fXN/builds/dBOfZZD99qCv6iVXP/openapi.json