Poratiner Ce MCP Server
P

Poratiner Ce MCP Server

The Portainer MCP Server project enables AI assistants to interact with Docker containers and services through the Portainer API, providing management operations for containers, images, networks, and services.
2 points
8.1K

What is Portainer MCP Server?

Portainer MCP Server is a server implementation based on the Model Context Protocol (MCP), enabling AI assistants to interact with Docker containers and services through the Portainer API. It simplifies the management operations of the Docker environment without the need to use the command line directly.

How to use Portainer MCP Server?

After installation and configuration, AI assistants can send instructions through the MCP protocol to manage Docker containers, images, networks, and services. Users need to provide API access permissions for the Portainer instance.

Applicable scenarios

Suitable for scenarios that require automated management of the Docker environment through AI assistants, such as development and test environment management, continuous integration/deployment (CI/CD) processes, container orchestration monitoring, etc.

Main Features

Container Management
Provide complete lifecycle management functions for containers, such as creation, startup, deletion, and log viewing
Image Management
Support operations such as image viewing, cleaning up unused images, and building caches
Network Operations
View and check Docker network configuration information
Service Management
Support viewing Docker services and obtaining logs
Resource Limit Management
Allow dynamic adjustment of CPU and memory resource limits for containers
Advantages
Simplify complex Docker management operations through AI assistants
Eliminate the need to use the command line directly, reducing the usage threshold
Provide a complete set of Docker environment management functions
Seamlessly integrate with Portainer and leverage existing infrastructure
Limitations
Require pre - configuration of Portainer API access permissions
Be limited by the functions of Portainer
Require the Deno runtime environment
Currently only support basic Docker operations

How to Use

Installation Preparation
Ensure that the Deno runtime environment is installed and a Portainer instance is ready
Clone the Repository
Get the project source code
Configure Environment Variables
Set Portainer connection information
Start the Server
Run the server using Deno

Usage Examples

Deploy a Web Application
Automatically deploy an Nginx Web server through an AI assistant
Monitor Container Status
Regularly check the running status of containers

Frequently Asked Questions

What version of Portainer is required?
How to obtain the Portainer API Key?
Does it support Kubernetes cluster management?

Related Resources

Portainer Official Documentation
Official usage documentation for Portainer
Deno Runtime
Deno JavaScript/TypeScript runtime
GitHub Repository
Project source code

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.2K
4 points
P
Paperbanana
Python
7.4K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.0K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
7.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.7K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.5K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.5K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.5K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.1K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase