I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

safetyculture-mcp-server
1
Github Watches
1
Github Forks
0
Github Stars
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
- Clone this repository
- Install dependencies:
pip install -r requirements.txt
- Copy
example.env
to.env
and configure your SafetyCulture API key - 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
- Install Claude for Desktop
- 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) - Add the following configuration:
{
"mcpServers": {
"safetyculture": {
"command": "python",
"args": [
"/path/to/your/project/src/main.py"
]
}
}
}
- Restart Claude for Desktop
- 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
相关推荐
I find academic articles and books for research and literature reviews.
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
Confidential guide on numerology and astrology, based of GG33 Public information
Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.
Your go-to expert in the Rust ecosystem, specializing in precise code interpretation, up-to-date crate version checking, and in-depth source code analysis. I offer accurate, context-aware insights for all your Rust programming questions.
Advanced software engineer GPT that excels through nailing the basics.
Converts Figma frames into front-end code for various mobile frameworks.
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
Mirror ofhttps://github.com/agentience/practices_mcp_server
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A unified API gateway for integrating multiple etherscan-like blockchain explorer APIs with Model Context Protocol (MCP) support for AI assistants.
Reviews

user_vIDmj0qV
The Remote MCP Server on Cloudflare by SunwangX is an exceptional solution for managing my projects remotely. It's both reliable and secure, leveraging Cloudflare's infrastructure to ensure data safety and fast access. The seamless experience it provides has truly enhanced my productivity. Whether you are an individual or a team, this is a must-have tool. Highly recommended! Check it out at https://mcp.so/server/remote-mcp-server/SunwangX.