SafetyCulture MCP Server

Overview

The SafetyCulture MCP Server is a specialized bridge that lets AI assistants such as Claude talk to the SafetyCulture platform using natural language. By exposing a set of MCP tools that wrap the SafetyCulture Feed API, it transforms raw inspection and action data into conversational queries that developers can answer directly within their AI workflows. The server handles authentication, data retrieval, and lightweight analytics, freeing developers from writing custom API clients or parsing JSON responses themselves.

At its core, the server solves a common pain point for safety professionals: accessing and interpreting SafetyCulture data without deep programming knowledge. Instead of manually exporting reports or building dashboards, a user can ask the assistant questions like “How many inspections were done on site A in the last three months?” or “Show me trends in injury reports for category X.” The server translates these natural‑language prompts into precise API calls, aggregates the results, and returns concise answers or visual summaries that can be embedded in chat or reporting tools.

Key capabilities include:

• Authentication – a dedicated tool to securely store and refresh the SafetyCulture API key.
• Inspection tools – fetch inspections for arbitrary time ranges, analyze trend data over time, and compare injury reports across periods.
• Action tools – list actions with status or priority filters, and retrieve detailed information for a specific action ID.
• Trend visualization – the server can generate simple trend analyses that are useful for quick insights or further downstream processing.

Typical use cases span from on‑the‑fly safety audits to executive reporting. A safety manager can ask the assistant for a quick snapshot of recent inspections, while an analytics engineer might integrate the MCP tools into a larger pipeline that feeds metrics dashboards. Because the server leverages the Feed API, it efficiently handles large result sets and supports complex filtering without exposing raw endpoints to the user.

Integrating the SafetyCulture MCP Server into an AI workflow is straightforward: configure the server as a new MCP endpoint in your client (e.g., Claude for Desktop), and then invoke the provided tools through natural language. The server handles all network communication, error handling, and basic aggregation, allowing developers to focus on higher‑level business logic or custom visualizations. Its tight coupling with the SafetyCulture Feed API ensures that updates to the underlying platform automatically propagate to your AI assistant, giving it a robust and future‑proof connection to safety data.