# portainer-mcp

> Use this tool when you need to manage container environments with ease, as it enables AI assistants to control Portainer deployments through natural language, solving problems like complex container orchestration and management. It accepts natural language inputs and outputs container environment status and execution results. Use it when automating container management tasks, such as deploying stacks or executing commands, is necessary.

Canonical page: https://skillsregistry.net/skills/ginkida-portainer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ginkida-portainer-mcp

## Description

Enables AI assistants to manage Portainer container environments through natural language, including deploying stacks, managing containers, images, volumes, networks, and executing commands.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tlf9xtb0z9)
- **Repository:** <https://github.com/ginkida/portainer-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ginkida-portainer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ginkida-portainer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ginkida-portainer-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt