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How to Use the Accident Investigation Prover MCP in Mastra AI

Build automated safety workflows in Mastra AI using the Accident Investigation Prover MCP Server to identify systemic risks.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Accident Investigation Prover MCP to Mastra AI

Create your Vinkius account to connect Accident Investigation Prover to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automated causality mapping in Mastra AI

Use `validate_accident_investigation` to trigger automated safety audits when new incident data enters your pipeline. The tool enforces Reason's Swiss Cheese Model to catch latent conditions before they repeat. Mastra AI handles the workflow execution while the MCP Server performs the heavy analysis. This ensures every investigation follows strict ICAO standards without manual intervention.

HFACS taxonomy integration for Mastra AI agents

Your agents can now classify accident factors using the 4-level HFACS taxonomy. The `validate_accident_investigation` tool ensures the analysis moves past Level 1 unsafe acts into organizational root causes. This adds a layer of intelligence to your automated reporting. Your agents will no longer settle for blaming the pilot when systemic pressures are the real culprit.

Evidence-linked recommendation engine

Generate specific, trackable safety actions that are hard-coded to your evidence chain. The `validate_accident_investigation` tool validates that every recommendation is measurable and assigned to an authority. Build reliable safety loops that actually prevent recurrence. If an action is too vague, the tool rejects it, forcing your agents to refine the plan.

Setup guide

Set up Accident Investigation Prover MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Accident Investigation Prover tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "accident-investigation-prover-mcp-client",
  servers: {
    "accident-investigation-prover-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Accident Investigation Prover Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Accident Investigation Prover tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Accident Investigation Prover transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Accident Investigation Prover. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Accident Investigation Prover MCP in Mastra AI

Add the server to your Mastra client configuration and call `validate_accident_investigation` within your agent tools. The framework will handle the tool approval and execution automatically.
Yes, it integrates with the Mastra engine. If a data fetch fails, the workflow can retry the tool call to ensure the investigation remains complete.
It forces the agent to apply the 5-Whys and HFACS taxonomy. This prevents the single-cause fallacy often found in automated reports.
The server checks every analysis against ICAO Annex 13 protocols. If your agent misses a step, the tool rejects the conclusion until all evidence is correlated.
Data privacy is handled at the transport layer. Your CVR and FDR logs are processed in an ephemeral sandbox, ensuring no permanent record of your proprietary safety data exists.

Start using the Accident Investigation Prover MCP today

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