container-manager-mcp 1.3.14
Container Manager - manage Docker, Docker Swarm, and Podman containers. MCP+A2A Servers Out of the Box!
License: MIT
Requires Python: >=3.10

# Container Manager - A2A | AG-UI | MCP

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*Version: 1.3.14*

## Overview

Container Manager provides a robust universal interface to manage Docker and Podman containers, networks, volumes,
and Docker Swarm services, enabling programmatic and remote container management.

This is package contains an MCP Server + A2A Server Out of the Box!

This repository is actively maintained - Contributions are welcome!

## Features

- Manage Docker and Podman containers, images, volumes, and networks
- Support for Docker Swarm operations
- Support for Docker Compose and Podman Compose operations
- FastMCP server for remote API access
- Comprehensive logging and error handling
- Extensible architecture for additional container runtimes
- Multi-agent A2A system for delegated container management

## MCP

### MCP Tools

- `get_version`: Retrieve version information of the container runtime
- `get_info`: Get system information about the container runtime
- `list_images`: List all available images
- `pull_image`: Pull an image from a registry
- `remove_image`: Remove an image
- `list_containers`: List running or all containers
- `run_container`: Run a new container
- `stop_container`: Stop a running container
- `remove_container`: Remove a container
- `get_container_logs`: Retrieve logs from a container
- `exec_in_container`: Execute a command in a container
- `list_volumes`: List all volumes
- `create_volume`: Create a new volume
- `remove_volume`: Remove a volume
- `list_networks`: List all networks
- `create_network`: Create a new network
- `remove_network`: Remove a network
- `compose_up`: Start services defined in a Compose file
- `compose_down`: Stop and remove services defined in a Compose file
- `compose_ps`: List containers for a Compose project
- `compose_logs`: View logs for a Compose project or specific service
- `init_swarm`: Initialize a Docker Swarm
- `leave_swarm`: Leave a Docker Swarm
- `list_nodes`: List nodes in a Docker Swarm
- `list_services`: List services in a Docker Swarm
- `create_service`: Create a new service in a Docker Swarm
- `remove_service`: Remove a service from a Docker Swarm


### MCP CLI

| Short Flag | Long Flag                          | Description                                                                 |
|------------|------------------------------------|-----------------------------------------------------------------------------|
| -h         | --help                             | Display help information                                                    |
| -t         | --transport                        | Transport method: 'stdio', 'http', or 'sse' [legacy] (default: stdio)       |
| -s         | --host                             | Host address for HTTP transport (default: 0.0.0.0)                          |
| -p         | --port                             | Port number for HTTP transport (default: 8000)                              |
|            | --auth-type                        | Authentication type: 'none', 'static', 'jwt', 'oauth-proxy', 'oidc-proxy', 'remote-oauth' (default: none) |
|            | --token-jwks-uri                   | JWKS URI for JWT verification                                              |
|            | --token-issuer                     | Issuer for JWT verification                                                |
|            | --token-audience                   | Audience for JWT verification                                              |
|            | --oauth-upstream-auth-endpoint     | Upstream authorization endpoint for OAuth Proxy                             |
|            | --oauth-upstream-token-endpoint    | Upstream token endpoint for OAuth Proxy                                    |
|            | --oauth-upstream-client-id         | Upstream client ID for OAuth Proxy                                         |
|            | --oauth-upstream-client-secret     | Upstream client secret for OAuth Proxy                                     |
|            | --oauth-base-url                   | Base URL for OAuth Proxy                                                   |
|            | --oidc-config-url                  | OIDC configuration URL                                                     |
|            | --oidc-client-id                   | OIDC client ID                                                             |
|            | --oidc-client-secret               | OIDC client secret                                                         |
|            | --oidc-base-url                    | Base URL for OIDC Proxy                                                    |
|            | --remote-auth-servers              | Comma-separated list of authorization servers for Remote OAuth             |
|            | --remote-base-url                  | Base URL for Remote OAuth                                                  |
|            | --allowed-client-redirect-uris     | Comma-separated list of allowed client redirect URIs                       |
|            | --eunomia-type                     | Eunomia authorization type: 'none', 'embedded', 'remote' (default: none)   |
|            | --eunomia-policy-file              | Policy file for embedded Eunomia (default: mcp_policies.json)              |
|            | --eunomia-remote-url               | URL for remote Eunomia server                                              |

## A2A Agent

### A2A CLI
#### Endpoints
- **Web UI**: `http://localhost:8000/` (if enabled)
- **A2A**: `http://localhost:8000/a2a` (Discovery: `/a2a/.well-known/agent.json`)
- **AG-UI**: `http://localhost:8000/ag-ui` (POST)

| Long Flag         | Description                                      |
|-------------------|--------------------------------------------------|
| --host            | Host to bind the server to (default: 0.0.0.0)    |
| --port            | Port to bind the server to (default: 9000)       |
| --provider        | LLM Provider: openai, anthropic, google, huggingface (default: openai) |
| --model-id        | LLM Model ID (default: qwen3:4b)                 |
| --base-url        | LLM Base URL (for OpenAI compatible providers)   |
| --api-key         | LLM API Key                                      |
| --mcp-url         | MCP Server URL (default: http://localhost:8000/mcp) |
| --web             | Enable Pydantic AI Web UI                               | False (Env: ENABLE_WEB_UI) |



## Usage

### Using as an MCP Server

The MCP Server can be run in two modes: `stdio` (for local testing) or `http` (for networked access). To start the server, use the following commands:

#### Run in stdio mode (default):
```bash
container-manager-mcp
```

#### Run in HTTP mode:
```bash
container-manager-mcp --transport "http"  --host "0.0.0.0"  --port "8000"
```

### Deploy MCP Server as a Service

The ServiceNow MCP server can be deployed using Docker, with configurable authentication, middleware, and Eunomia authorization.

#### Using Docker Run

```bash
docker pull knucklessg1/container-manager:latest

docker run -d \
  --name container-manager-mcp \
  -p 8004:8004 \
  -e HOST=0.0.0.0 \
  -e PORT=8004 \
  -e TRANSPORT=streamable-http \
  -e AUTH_TYPE=none \
  -e EUNOMIA_TYPE=none \
  knucklessg1/container-manager:latest
```

#### Run A2A Agent (Docker):

```bash
docker run -d \
  --name container-manager-agent \
  -p 9000:9000 \
  -e PORT=9000 \
  -e PROVIDER=openai \
  -e MODEL_ID=qwen3:4b \
  -e BASE_URL=http://host.docker.internal:11434/v1 \
  -e MCP_URL=http://host.docker.internal:8004/mcp \
  knucklessg1/container-manager:latest \
  container-manager-agent
```

For advanced authentication (e.g., JWT, OAuth Proxy, OIDC Proxy, Remote OAuth) or Eunomia, add the relevant environment variables:

```bash
docker run -d \
  --name container-manager-mcp \
  -p 8004:8004 \
  -e HOST=0.0.0.0 \
  -e PORT=8004 \
  -e TRANSPORT=streamable-http \
  -e AUTH_TYPE=oidc-proxy \
  -e OIDC_CONFIG_URL=https://provider.com/.well-known/openid-configuration \
  -e OIDC_CLIENT_ID=your-client-id \
  -e OIDC_CLIENT_SECRET=your-client-secret \
  -e OIDC_BASE_URL=https://your-server.com \
  -e ALLOWED_CLIENT_REDIRECT_URIS=http://localhost:*,https://*.example.com/* \
  -e EUNOMIA_TYPE=embedded \
  -e EUNOMIA_POLICY_FILE=/app/mcp_policies.json \
  knucklessg1/container-manager:latest
```

#### Using Docker Compose

Create a `docker-compose.yml` file:

```yaml
services:
  container-manager-mcp:
    image: knucklessg1/container-manager:latest
    environment:
      - HOST=0.0.0.0
      - PORT=8004
      - TRANSPORT=streamable-http
      - AUTH_TYPE=none
      - EUNOMIA_TYPE=none
    ports:
      - 8004:8004
```

For advanced setups with authentication and Eunomia:

```yaml
services:
  container-manager-mcp:
    image: knucklessg1/container-manager:latest
    environment:
      - HOST=0.0.0.0
      - PORT=8004
      - TRANSPORT=streamable-http
      - AUTH_TYPE=oidc-proxy
      - OIDC_CONFIG_URL=https://provider.com/.well-known/openid-configuration
      - OIDC_CLIENT_ID=your-client-id
      - OIDC_CLIENT_SECRET=your-client-secret
      - OIDC_BASE_URL=https://your-server.com
      - ALLOWED_CLIENT_REDIRECT_URIS=http://localhost:*,https://*.example.com/*
      - EUNOMIA_TYPE=embedded
      - EUNOMIA_POLICY_FILE=/app/mcp_policies.json
    ports:
      - 8004:8004
    volumes:
      - ./mcp_policies.json:/app/mcp_policies.json
```

Run the service:

```bash
docker-compose up -d
```

#### Configure `mcp.json` for AI Integration

```json
{
  "mcpServers": {
    "container_manager": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "container-manager-mcp",
        "container-manager-mcp"
      ],
      "env": {
        "CONTAINER_MANAGER_SILENT": "False",                                  //Optional
        "CONTAINER_MANAGER_LOG_FILE": "~/Documents/container_manager_mcp.log" //Optional
        "CONTAINER_MANAGER_TYPE": "podman",                                   //Optional
        "CONTAINER_MANAGER_PODMAN_BASE_URL": "tcp://127.0.0.1:8080"           //Optional
      },
      "timeout": 200000
    }
  }
}
```

## Install Python Package

```bash
python -m pip install container-manager-mcp
```

or

```bash
uv pip install --upgrade container-manager-mcp
```

## Test

```bash
container-manager-mcp --transport streamable-http --host 127.0.0.1 --port 8080
```

This starts the MCP server using HTTP transport on localhost port 8080.

To interact with the MCP server programmatically, you can use a FastMCP client or make HTTP requests to the exposed endpoints. Example using curl to pull an image:

```bash
curl -X POST http://127.0.0.1:8080/pull_image \
  -H "Content-Type: application/json" \
  -d '{"image": "nginx", "tag": "latest", "manager_type": "docker"}'
```

Install the Python package:

```bash
python -m pip install container-manager-mcp
```

### Dependencies
- Python 3.7+
- `fastmcp` for MCP server functionality
- `docker` for Docker support
- `podman` for Podman support
- `pydantic` for data validation

Install dependencies:

```bash
python -m pip install fastmcp docker podman pydantic
```

Ensure Docker or Podman is installed and running on your system.

## Development and Contribution

Contributions are welcome! To contribute:

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/your-feature`)
3. Commit your changes (`git commit -am 'Add your feature'`)
4. Push to the branch (`git push origin feature/your-feature`)
5. Create a new Pull Request

Please ensure your code follows the project's coding standards and includes appropriate tests.


## License

This project is licensed under the MIT License - see the [LICENSE](https://github.com/Knuckles-Team/container-manager-mcp/blob/main/LICENSE) file for details.


## Repository Owners

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