# 🐳 MCP Container Tools
[](https://pypi.org/project/mcp-container-tools/)
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
[](https://modelcontextprotocol.io/)
A Model Context Protocol (MCP) server for Docker, Kubernetes, and Azure Application Insights with advanced log filtering and monitoring capabilities.
## ✨ Features
- 🐳 **Docker** — Container logs, inspect, exec, list containers
- 🐙 **Docker Compose** — Service logs, start/stop/restart services
- ☸️ **Kubernetes** — Pod logs, deployment logs, events, exec into pods
- ☁️ **Azure Application Insights** — Exceptions, traces, requests, metrics
- 🔍 **Log Filtering** — Filter by log level, regex patterns, exclude patterns
- 🌐 **Remote Support** — Connect to remote Docker hosts via SSH or TCP
## 📋 Requirements
| Requirement | Version | Required For |
|-------------|---------|--------------|
| 🐍 Python | 3.11+ | All |
| 🐳 Docker | Latest | Docker tools |
| ☸️ kubectl | Latest | Kubernetes tools |
| ☁️ Azure CLI | Latest | Azure tools (optional) |
## 🚀 Installation
### 📦 Quick Install (recommended)
```bash
# Basic installation
pip install mcp-container-tools
# With Azure Application Insights support
pip install mcp-container-tools[azure]
```
### 🐙 Install from GitHub
```bash
# Latest version from GitHub
pip install git+https://github.com/simseksem/mcp-container-tools.git
# With Azure support
pip install "mcp-container-tools[azure] @ git+https://github.com/simseksem/mcp-container-tools.git"
```
### 🔧 Install from source (for development)
```bash
git clone https://github.com/simseksem/mcp-container-tools.git
cd mcp-container-tools
pip install -e ".[all]"
```
### ✅ Verify installation
```bash
mcp-server --help
```
## ⚙️ Configuration
### 🖥️ Claude Desktop
Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows):
```json
{
"mcpServers": {
"container-tools": {
"command": "/path/to/mcp-container-tools/.venv/bin/python",
"args": ["-m", "mcp_server.server"],
"env": {
"AZURE_LOG_ANALYTICS_WORKSPACE_ID": "your-workspace-id",
"AZURE_APP_INSIGHTS_RESOURCE_ID": "/subscriptions/.../resourceGroups/.../providers/microsoft.insights/components/..."
}
}
}
}
```
### 💻 Claude Code
Add to `~/.claude/settings.json` or create `.mcp.json` in your project:
```json
{
"mcpServers": {
"container-tools": {
"command": "/path/to/mcp-container-tools/.venv/bin/python",
"args": ["-m", "mcp_server.server"]
}
}
}
```
### ☁️ Azure Authentication
Azure tools use `DefaultAzureCredential` which supports:
- Azure CLI (`az login`)
- Environment variables
- Managed Identity
- Visual Studio Code
```bash
# Easiest: Login with Azure CLI
az login
```
## 📖 Usage Examples
### 🐳 Docker
```python
# Read container logs
docker_logs(container="my-app", tail=100)
# Read logs from last 30 minutes
docker_logs(container="my-app", since="30m")
# Filter by log level (only errors and above)
docker_logs(container="my-app", min_level="error")
# Search for patterns
docker_logs(container="my-app", pattern="timeout|connection refused")
# Exclude health checks
docker_logs(container="my-app", exclude_pattern="GET /health")
# Remote Docker host via SSH
docker_logs(container="my-app", host="ssh://user@server.com")
# List containers
docker_ps(all=True)
```
### 🐙 Docker Compose
```python
# Read service logs
compose_logs(service="api", tail=200)
# Read all services logs
compose_logs(project_dir="/path/to/project")
# Service management
compose_up(service="api", project_dir="/path/to/project")
compose_down(project_dir="/path/to/project")
compose_restart(service="api")
```
### ☸️ Kubernetes
```python
# Read pod logs
k8s_logs(pod="api-7d4b8c6f9-x2k4m", namespace="production")
# Read logs from all pods in a deployment
k8s_deployment_logs(deployment="api", namespace="production")
# Filter logs
k8s_logs(pod="api-*", min_level="warn", pattern="database")
# Use different context
k8s_logs(pod="my-pod", context="production-cluster", namespace="backend")
# List pods
k8s_pods(namespace="all", selector="app=api")
# Get events
k8s_events(namespace="production")
# Execute command in pod
k8s_exec(pod="api-xyz", command="printenv", namespace="production")
```
### ☁️ Azure Application Insights
```python
# Query exceptions from last hour
azure_exceptions(timespan="PT1H", limit=50)
# Get only critical exceptions
azure_exceptions(severity="critical", search="NullReference")
# Query application traces
azure_traces(timespan="PT1H", severity="error")
# Query HTTP requests
azure_requests(timespan="PT1H", failed_only=True)
# Get slow requests (>1 second)
azure_requests(min_duration_ms=1000, limit=20)
# Query external dependencies (SQL, HTTP, etc.)
azure_dependencies(timespan="PT1H", failed_only=True, type_filter="SQL")
# Get metrics
azure_metrics(metric_name="requests/count", timespan="P1D", interval="PT1H")
# Query availability test results
azure_availability(timespan="P1D", failed_only=True)
# Run custom Kusto query
azure_query(query="""
requests
| where success == false
| summarize count() by bin(timestamp, 1h), resultCode
| order by timestamp desc
""", timespan="P1D")
```
### 🔍 Log Filtering Options
All log tools support these filtering options:
| Option | Description | Example |
|--------|-------------|---------|
| `min_level` | Minimum log level | `"error"`, `"warn"`, `"info"` |
| `pattern` | Regex to include | `"error\|exception"` |
| `exclude_pattern` | Regex to exclude | `"health.*check"` |
| `context_lines` | Lines around matches | `5` |
**Supported log levels:** `trace` → `debug` → `info` → `warn` → `error` → `fatal`
### ⏱️ Timespan Format (Azure)
Azure tools use ISO 8601 duration format:
| Format | Duration |
|--------|----------|
| `PT1H` | 1 hour |
| `PT30M` | 30 minutes |
| `P1D` | 1 day |
| `P7D` | 7 days |
## 🛠️ Available Tools
### 🐳 Docker Tools
| Tool | Description |
|------|-------------|
| `docker_logs` | 📄 Read container logs with filtering |
| `docker_ps` | 📋 List containers |
| `docker_inspect` | 🔎 Get container details |
| `docker_exec` | ⚡ Execute command in container |
### 🐙 Docker Compose Tools
| Tool | Description |
|------|-------------|
| `compose_logs` | 📄 Read service logs |
| `compose_ps` | 📋 List services |
| `compose_up` | ▶️ Start services |
| `compose_down` | ⏹️ Stop services |
| `compose_restart` | 🔄 Restart services |
### ☸️ Kubernetes Tools
| Tool | Description |
|------|-------------|
| `k8s_logs` | 📄 Read pod logs |
| `k8s_deployment_logs` | 📚 Read deployment logs |
| `k8s_pods` | 📋 List pods |
| `k8s_describe` | 🔎 Describe pod |
| `k8s_exec` | ⚡ Execute in pod |
| `k8s_events` | 📢 Get events |
| `k8s_contexts` | 🌐 List contexts |
### ☁️ Azure Application Insights Tools
| Tool | Description |
|------|-------------|
| `azure_query` | 🔍 Run custom Kusto queries |
| `azure_exceptions` | ❌ Query application exceptions |
| `azure_traces` | 📝 Query application traces |
| `azure_requests` | 🌐 Query HTTP requests |
| `azure_dependencies` | 🔗 Query external dependencies |
| `azure_metrics` | 📊 Query metrics |
| `azure_availability` | ✅ Query availability tests |
## 👨💻 Development
### Install dev dependencies
```bash
pip install -e ".[all]"
```
### Run tests
```bash
pytest
```
### Linting and type checking
```bash
ruff check .
mypy src/
```
## 📁 Project Structure
```
mcp-container-tools/
├── 📂 src/mcp_server/
│ ├── 📄 __init__.py
│ ├── 📄 server.py # Main server entry point
│ ├── 📂 tools/
│ │ ├── 🐳 docker.py # Docker tools
│ │ ├── 🐙 docker_compose.py # Compose tools
│ │ ├── ☸️ kubernetes.py # K8s tools
│ │ ├── ☁️ azure_insights.py # Azure App Insights
│ │ └── 📁 file_operations.py # File tools
│ ├── 📂 resources/
│ │ ├── ⚙️ config.py # Config resources
│ │ └── 📊 data.py # Data resources
│ ├── 📂 prompts/
│ │ └── 📝 templates.py # Prompt templates
│ └── 📂 utils/
│ └── 🔍 log_filter.py # Log filtering
├── 📂 tests/
├── 📄 pyproject.toml
└── 📄 README.md
```
## 🔐 Environment Variables
| Variable | Description |
|----------|-------------|
| `AZURE_LOG_ANALYTICS_WORKSPACE_ID` | Azure Log Analytics workspace ID |
| `AZURE_APP_INSIGHTS_RESOURCE_ID` | Azure Application Insights resource ID |
## 📄 License
MIT License - see [LICENSE](LICENSE) for details.
---
<p align="center">
Made with ❤️ for the MCP community
</p>
