Portainer MCP server
Portainer MCP is a protocol implementation that connects AI models with Portainer environments, allowing secure management and interaction with container resources and data.
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Created by:
Apr 28 2025
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What is Portainer MCP server?
Portainer MCP is a work in progress project implementing the Model Context Protocol (MCP) for Portainer. It standardizes how AI assistants and tools access and manage container environments. By exposing portainer data and operations through MCP, it enables AI-driven management of resources such as environments, stacks, users, and access groups. Supports Docker and Kubernetes interactions, providing read and write capabilities with security considerations. It aims to facilitate automation, integration, and streamlined operations in containerized infrastructure management, compatible with specific Portainer versions and offering capabilities like environment listing, stacking, access control, and proxy requests.
Who will use Portainer MCP server?
- Portainer administrators
- DevOps engineers
- AI developers integrating container management
- Container orchestration teams
How to use the Portainer MCP server?
- Step1: Download the pre-built binary from the latest release page based on your OS.
- Step2: Configure the MCP server command with your Portainer API token, server IP, and port.
- Step3: Run the MCP server with optional parameters such as read-only mode.
- Step4: Connect your AI assistant, like Claude, with the MCP server configuration.
- Step5: Use the AI assistant to list, manage, and execute commands on Portainer resources via MCP.
Portainer MCP server's Core Features & Benefits
The Core Features
- List and update environments
- Manage environment groups and access groups
- List and create stacks
- Manage environment tags and teams
- List users and update user details
- Proxy Docker and Kubernetes API requests
- Support for Portainer version compatibility
The Benefits
- Secure and standardized connection to container environments
- Enables AI-driven management and automation
- Supports integration with Docker and Kubernetes
- Provides detailed control over environments and permissions
- Facilitates efficient resource management
Portainer MCP server's Main Use Cases & Applications
- Automated container environment management with AI assistance
- Integrated control of portainer resources via AI chatbots
- Streamlined DevOps workflows
- Secure remote environment monitoring and operations