SafetyCulture MCP Server

by zerubroberts

177 downloads

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GitHub

Description

# SafetyCulture MCP Server 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 -…

About

Details

Author: zerubroberts
Downloads: 177
Categories: Cloud Service, API, Other, Security, Automation

- Query inspection data using natural language.
- Analyze inspection trends over time.
- Compare safety metrics across time periods and categories.
- Visualize inspection trends over time.
- Filter actions by status (e.g., ‘in_progress’, ‘completed’) and priority.
- Retrieve detailed information about a specific action by ID.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name SafetyCulture MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

1. Clone the repository and install dependencies: pip install -r requirements.txt.
2. Copy example.env to .env and configure your SafetyCulture API key, or run the server with run_with_key.bat YOUR_API_KEY.
3. Run the server with run_server.bat (uses .env) or run_with_key.bat YOUR_API_KEY.
4. Configure Claude for Desktop to use the server by adding its mcpServers config pointing to src/main.py. Then ask natural‑language questions about your SafetyCulture data.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

SafetyCulture MCP Server

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

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Description

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

SafetyCulture MCP Server

Features

Setup

Testing the API

Usage with Claude for Desktop

Available Tools

Authentication

Inspection Data (Using Feed API)

Action Data (Using Feed API)

About the Feed API

Development

Project Structure

Development Log

Initial Setup

Install

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