This MCP server implementation for Portainer allows AI assistants to interact seamlessly with Docker resources, including creating, starting, deleting containers, managing images, networks, and services, and adjusting resource limits, streamlining container management tasks.
Added on:
Created by:
Apr 13 2025
This MCP server implementation for Portainer allows AI assistants to interact seamlessly with Docker resources, including creating, starting, deleting containers, managing images, networks, and services, and adjusting resource limits, streamlining container management tasks.
Added on:
Created by:
Apr 13 2025
Biraj Mainali
Featured
What is Model Context Protocol (MCP) Server for Portainer?
The MCP server provides comprehensive features for Docker management through Portainer's API, including container creation, start, stop, removal, log retrieval, resource limit updates, image fetching and cleanup, network inspection, and service monitoring. It simplifies container orchestration by offering direct AI-driven control over Docker environments, enabling automation, resource optimization, and easier management of complex containerized systems. This system requires a Portainer instance with API access, Docker installed, and Deno environment setup. Facilitating streamlined workflows and efficient deployment, it supports developers and system administrators in maintaining Dockerized applications effortlessly.
Who will use Model Context Protocol (MCP) Server for Portainer?
- Developers
- DevOps engineers
- System administrators
- AI automation specialists
How to use the Model Context Protocol (MCP) Server for Portainer?
- Step1: Install Docker and Portainer with API access
- Step2: Clone the MCP server repository from GitHub
- Step3: Set the required environment variables (`PORTAINER_URL`, `PORTAINER_API_KEY`, `PORTAINER_ENV_ID`)
- Step4: Configure the server and start it using Deno
- Step5: Use API tools or integrate your AI assistant to manage Docker resources via MCP commands
Model Context Protocol (MCP) Server for Portainer's Core Features & Benefits
The Core Features
- Docker container creation, start, stop, delete
- Fetch container logs
- Update container resource limits
- Fetch and delete images, clear build cache
- Inspect networks
- Manage services and fetch logs
The Benefits
- Automates Docker management tasks through AI
- Streamlines container orchestration
- Reduces manual intervention and errors
- Supports resource optimization
- Simplifies complex Docker environments
Model Context Protocol (MCP) Server for Portainer's Main Use Cases & Applications
- Automated container deployment and scaling
- Resource management and cleanup
- Integrated DevOps workflows
- AI-driven Docker environment monitoring
FAQs of Model Context Protocol (MCP) Server for Portainer
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