ansible-aap
by mancubus77
README.md
# MCP Ansible Automation Platform Server
A Very basic and simple Model Context Protocol (MCP) server that provides integration with Ansible Automation Platform (AAP) via API. This server allows Large Language Models to interact with AAP to extract available templates and launch Ansible job templates with custom parameters. This is just a demo, and not a full MCP Server capabiliy, feel free to use this code as you want.

## Features
- **Template Discovery**: Extract available job templates from configured AAP projects
- **Job Launching**: Launch Ansible job templates with custom extra variables and parameters
- **Job Monitoring**: Check job status and retrieve job outputs/logs
- **Connection Testing**: Verify AAP connectivity and authentication
- **Error Handling**: Robust error handling with retry logic and detailed error messages
## Prerequisites
- Python 3.8+
- Access to an Ansible Automation Platform instance
- AAP API access token with appropriate permissions
## AAP Token Generation

## Installation
1. Clone this repository
2. Install dependencies:
```bash
uv pip install -r requirements.txt
```
3. Configure environment variables:
```bash
cp env_example .env
# Edit .env with your AAP configuration
```
## Configuration
Create a `.env` file in the project root with the following variables:
```bash
# Ansible Automation Platform Configuration
AAP_URL=https://your-aap-instance.com
AAP_TOKEN=your-access-token-here
AAP_PROJECT_ID=your-project-id
AAP_VERIFY_SSL=True
# Optional settings
AAP_TIMEOUT=30
AAP_MAX_RETRIES=3
```
### Configuration Parameters
- `AAP_URL`: Base URL of your AAP instance (e.g., `https://controller.example.com`)
- `AAP_TOKEN`: Bearer token for API authentication
- `AAP_PROJECT_ID`: Default project ID to extract templates from
- `AAP_VERIFY_SSL`: Whether to verify SSL certificates (True/False)
- `AAP_TIMEOUT`: Request timeout in seconds (default: 30)
- `AAP_MAX_RETRIES`: Number of retry attempts for failed requests (default: 3)
## Usage
### Testing the Server
Before integrating with Claude Desktop, test your server setup:
```bash
uv run python tools/test_mcp_server.py
```
This will validate:
- Environment configuration
- AAP connection
- Template extraction
- MCP server functionality
### Running the Server
Start the MCP server:
```bash
uv run python server.py
```
The server will start and listen for MCP protocol messages on stdin/stdout.
### Claude Desktop Integration
#### Step 1: Configure Claude Desktop
1. Locate your Claude Desktop configuration file:
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json`
- **Linux**: `~/.config/claude/claude_desktop_config.json`
2. Edit the configuration file and add the MCP server:
```json
{
"mcpServers": {
"ansible-aap": {
"command": "uv",
"args": ["run", "python", "server.py"],
"cwd": "<PATH TO THE PROJECT>",
"env": {
"AAP_URL": "https://your-aap-instance.com",
"AAP_TOKEN": "your-access-token-here",
"AAP_PROJECT_ID": "your-project-id",
"AAP_VERIFY_SSL": "True",
"AAP_TIMEOUT": "30",
"AAP_MAX_RETRIES": "3"
}
}
}
}
```
**Important**: Replace the placeholder values with your actual AAP configuration:
- `cwd`: Use the absolute path to your MCP server directory
- `AAP_URL`: Your AAP instance URL
- `AAP_TOKEN`: Your API access token
- `AAP_PROJECT_ID`: Your project ID
#### Step 2: Restart Claude Desktop
After saving the configuration, restart Claude Desktop completely.
#### Step 3: Test the Integration
Once restarted, you can test the integration by asking Claude questions like:
- "What Ansible templates are available?"
- "Show me the job templates from my AAP project"
- "Show nodes with with low disk space"
- "Check the status of job 123"
#### Step 4: Verify Connection
You should see Claude respond with information about your Ansible templates and be able to launch jobs. If there are issues, check:
1. Claude Desktop logs for error messages
2. Your AAP credentials and permissions
3. Network connectivity to your AAP instance
### Alternative: Using Environment File
Instead of embedding credentials in the Claude Desktop config, you can create a `.env` file:
```json
{
"mcpServers": {
"ansible-aap": {
"command": "uv",
"args": ["run", "python", "server.py"],
"cwd": "<PATH TO THE PROJECT>"
}
}
}
```
Then create a `.env` file in your project directory with the AAP configuration.
### Available Tools
The server provides the following tools:
#### 1. `get_job_templates`
Extract available job templates from the configured AAP project.
**Parameters:**
- `project_id` (optional): Override the configured project ID
**Example:**
```json
{
"name": "get_job_templates",
"arguments": {
"project_id": "5"
}
}
```
#### 2. `launch_job_template`
Launch an Ansible job template with optional parameters.
**Parameters:**
- `template_id` (required): ID of the job template to launch
- `extra_vars` (optional): Extra variables to pass to the job template
- `inventory` (optional): Inventory ID to use
- `credentials` (optional): List of credential IDs to use
**Example:**
```json
{
"name": "launch_job_template",
"arguments": {
"template_id": 10,
"extra_vars": {
"target_host": "web-server-01",
"service_name": "nginx",
"restart_service": true
},
"inventory": 2
}
}
```
#### 3. `get_job_status`
Get the status and details of a running or completed job.
**Parameters:**
- `job_id` (required): ID of the job to check
**Example:**
```json
{
"name": "get_job_status",
"arguments": {
"job_id": 123
}
}
```
#### 4. `get_job_output`
Get the output/logs of a job.
**Parameters:**
- `job_id` (required): ID of the job to get output from
**Example:**
```json
{
"name": "get_job_output",
"arguments": {
"job_id": 123
}
}
```
#### 5. `test_aap_connection`
Test the connection to Ansible Automation Platform.
**Parameters:** None
**Example:**
```json
{
"name": "test_aap_connection",
"arguments": {}
}
```
## Integration with LLM Clients
This server can be integrated with various MCP-compatible LLM clients. The server provides a standardized interface for LLMs to:
1. **Discover Infrastructure**: Query available Ansible templates to understand what automation is available
2. **Execute Operations**: Launch specific templates with custom parameters based on the conversation context
3. **Monitor Progress**: Check job status and retrieve outputs to provide feedback to users
### Example LLM Interaction Flow
1. **Discovery**: LLM calls `get_job_templates` to see what automation is available
2. **Planning**: Based on user request, LLM identifies the appropriate template and parameters
3. **Execution**: LLM calls `launch_job_template` with the required parameters
4. **Monitoring**: LLM uses `get_job_status` and `get_job_output` to track progress and provide updates
## Error Handling
The server includes comprehensive error handling:
- **Connection Errors**: Automatic retry with exponential backoff
- **Authentication Errors**: Clear error messages for token/permission issues
- **Validation Errors**: Parameter validation with helpful error messages
- **Rate Limiting**: Respectful API usage with configurable timeouts
## Security Considerations
- Store AAP tokens securely in environment variables
- Use HTTPS for AAP connections
- Validate SSL certificates in production (`AAP_VERIFY_SSL=True`)
- Limit template access through AAP project configuration
- Monitor job launches and outputs for security compliance
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues