What authentication is required?
You must provide a valid SafetyCulture API key, either stored in a `.env` file or passed directly as a command-line argument.
@MCP-Mirror
基本情報
Mirror of
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"safetyculture": {
"command": "python",
"args": [
"/path/to/your/project/src/main.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
SafetyCulture MCP Server is a Model Context Protocol server that connects to the SafetyCulture API. It lets users ask natural language questions about their SafetyCulture data after providing an API key, enabling inspection analysis and trend reporting.
Clone the repository, install dependencies with pip install -r requirements.txt, copy example.env to .env and configure your SafetyCulture API key. Run the server using run_server.bat (reads from .env) or run_with_key.bat YOUR_API_KEY. For use with Claude for Desktop, add the server to the MCP configuration file (claude_desktop_config.json) pointing to src/main.py.
You must provide a valid SafetyCulture API key, either stored in a `.env` file or passed directly as a command-line argument.
It uses the SafetyCulture Feed API to retrieve inspections and actions, including their metadata, status, priority, and time periods.
Yes, it requires Python and the packages listed in `requirements.txt`. No additional database or cloud service is needed beyond the SafetyCulture account and API key.
Configure the `mcpServers` section in Claude Desktop’s configuration file with the command `python` and the full path to `src/main.py` as arguments.
Tools include `authenticate`, `get_inspections`, `get_inspection_trends`, `compare_injury_reports`, `get_actions`, and `get_action_details`.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Hindsight: Agent Memory That Learns

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Soar Flight Booking MCP is a remote MCP server available at https://mcp.soar.flights.
Open-source MCP to use Blender with any LLM
コメント