Safetyculture

A Model Context Protocol (MCP) server for the SafetyCulture API. This project allows users to ask natural language questions about their SafetyCulture data after providing an API key.

Features

• Query SafetyCulture data using natural language
• Analyze inspection data and trends
• Compare safety metrics across time periods and categories
• Visualize inspection trends over time

Setup

1. Clone this repository
2. Install dependencies: pip install -r requirements.txt
3. Copy example.env to .env and configure your SafetyCulture API key
4. Run the server using one of these methods:
   • run_server.bat - Run the server with configuration from .env file
   • run_with_key.bat YOUR_API_KEY - Run the server with the provided API key

Testing the API

To test if your SafetyCulture API key works properly:

test_api.bat YOUR_API_KEY

Additional testing options:

• test_api.bat - Run tests in interactive mode (prompts for API key)
• test_api.bat feed YOUR_API_KEY - Test just the Feed API
• test_api.bat url - Check which API URLs are accessible without authentication

Usage with Claude for Desktop

1. Install Claude for Desktop
2. Configure Claude for Desktop to use this MCP server by editing the configuration file at ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
3. Add the following configuration:

{
    "mcpServers": {
        "safetyculture": {
            "command": "python",
            "args": [
                "/path/to/your/project/src/main.py"
            ]
        }
    }
}

4. Restart Claude for Desktop
5. Use the MCP tools to query your SafetyCulture data with questions like:
   • "How many inspections were done in this site over the last 3 months?"
   • "Compare any trends in rise of injuries report for this category"

Available Tools

Authentication

• authenticate: Authenticate with the SafetyCulture API using your API key

Inspection Data (Using Feed API)

• get_inspections: Get SafetyCulture inspections for a specific time period
• get_inspection_trends: Analyze trends in SafetyCulture inspections over time
• compare_injury_reports: Compare injury reports between two time periods

Action Data (Using Feed API)

• get_actions: Get SafetyCulture actions for a specific time period
  • Filter by status (e.g., 'in_progress', 'completed', 'overdue')
  • Filter by priority (e.g., 'low', 'medium', 'high')
  • View detailed information about each action
• get_action_details: Get detailed information about a specific action by ID

About the Feed API

This MCP server uses the SafetyCulture Feed API, which provides a simple way to access collections of resources:

• /feed/inspections: For listing inspections with various filter parameters
• /feed/actions: For listing actions with various filter parameters

The Feed API is preferred over the individual resource endpoints when you need to list multiple items.

Development

Project Structure

.
├── README.md
├── requirements.txt
├── example.env
└── src/
    ├── main.py                      # Main entry point
    ├── safetyculture_api/           # SafetyCulture API client
    │   ├── __init__.py
    │   └── client.py                # API client implementation
    ├── tools/                       # MCP tools
    │   ├── __init__.py
    │   └── inspection_tools.py      # Inspection and action tools
    └── utils/                       # Utility modules
        ├── __init__.py
        ├── analysis.py              # Data analysis utilities
        ├── config.py                # Configuration management
        └── date_utils.py            # Date parsing utilities

Development Log

Initial Setup

• Created project structure
• Set up git repository
• Added README and requirements
• Implemented SafetyCulture API client
• Added MCP tools for querying inspection data
• Added utility modules for date parsing and data analysis
• Added configuration management