Docker Mcp

Pricing

Pay per event

Docker Mcp

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.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Salesmart Srl

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

MCP servers

Developer tools

Other

You can access the Docker Mcp programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("salesmart-srl/docker-mcp").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Docker Mcp API in Python

The Apify API client for Python is the official library that allows you to use Docker Mcp API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Docker Mcp API in JavaScript

Docker Mcp API through CLI

Docker Mcp OpenAPI definition

Docker Mcp API

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