Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Leading-Lagging Indicators with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Turn raw safety data into predictive health scores.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Leading-Lagging Indicators capability set.

These are the exact actions your AI can choose when you ask it to work with Leading-Lagging Indicators.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Leading-Lagging Indicators.

  1. 01

    Compare to benchmark

    This capability compares your current safety performance against specific industry standards or internal company targets.

  2. 02

    Analyze safety trends

    This capability identifies whether your safety performance is trending upward or downward over a set period.

  3. 03

    Get incident rates

    This capability calculates reactive lagging indicators, such as TRIR, for any specific timeframe you define.

  4. 04

    Get leading indicator score

    This capability evaluates proactive safety activities to generate a predictive health score for your operations.

One connector, every AI

Leading-Lagging Indicators works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Leading-Lagging Indicators to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

914ms average. Fast in production.

Leading-Lagging Indicators is checked daily against the live service.

Daily averagePeak 986ms
Sep 12Today
Fastest day
800ms
Slowest day
986ms
14-day trend
Slowing+5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Leading-Lagging Indicators, so you can see the experience inside your AI.

It does not authenticate your account with Leading-Lagging Indicators. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Leading-Lagging Indicators Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_QUonDUr8GIVRkCFHyyOrPHqTvEPMFO3QCvAQDm9R/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Leading-Lagging Indicators capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "leading-lagging-indicators-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QUonDUr8GIVRkCFHyyOrPHqTvEPMFO3QCvAQDm9R/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? How to give Claude access to Leading-Lagging Indicators

See all the AI clients this connector works with ↑

Who it's for

Built for the work Leading-Lagging Indicators owners hand off.

Safety professionals and operations managers use this MCP to automate the tedious parts of HSE reporting and analysis.

  • 01

    HSE Manager

    Hands off raw incident logs to the AI to generate monthly performance reports.

  • 02

    Safety Coordinator

    Uses the agent to monitor proactive compliance and leading indicator scores.

  • 03

    Operations Director

    Asks the AI to compare site safety performance against company-wide benchmarks.

FAQ

Questions Leading-Lagging Indicators owners ask.

  • 01

    What kind of safety metrics does this MCP support?

    It supports both reactive lagging indicators like TRIR and LTIR, and proactive leading indicator scores.

  • 02

    Can I compare my safety data to industry standards?

    Yes, you can use the benchmark capability to measure your current performance against industry or internal targets.

  • 03

    How does the leading indicator score work?

    The capability evaluates proactive safety activities to provide a predictive score that reflects your current safety health.

  • 04

    Which AI clients can I use with this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect.

Explore

More in Analytics

Suggestions