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How to Use the Accident Investigation Prover MCP in Google ADK

Run ICAO Annex 13 safety audits on BigQuery data using Google ADK and strict flight telemetry validation.

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Google ADK

Connect Accident Investigation Prover MCP to Google ADK

Create your Vinkius account to connect Accident Investigation Prover to Google ADK 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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BigQuery Telemetry Audits

Your Gemini-powered agent uses `validate_accident_investigation` to analyze raw flight recorder data pulled directly from your BigQuery tables. This tool processes all 88 standard parameters to verify flight paths against ATC clearances. Integrating this MCP Server ensures your Google ADK enterprise safety pipeline matches physical wreck signatures with digital BigQuery flight logs instantly. This prevents manual audit delays.

Latent Failure Mapping with Google ADK

The `validate_accident_investigation` tool forces your Google ADK agent to construct a multi-causal Swiss Cheese safety model. It traces active crew errors back to latent organizational decisions, such as maintenance budgets and scheduling patterns. This prevents your Google ADK agents from hallucinating simple answers when analyzing complex aviation incidents. The tool ensures each organizational failure is backed by hard FDR evidence.

ICAO Annex 13 Compliance Audits

Your Google ADK agent uses `validate_accident_investigation` to enforce strict compliance with ICAO Annex 13 protocols. This MCP toolset checks that your agent maps all findings to specific human factors taxonomy levels. By using this server with Gemini's long-context window, you can feed thousands of pages of maintenance logs and get an immediate, structured safety verdict. No manual scanning is required.

Setup guide

Set up Accident Investigation Prover MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Accident Investigation Prover tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Accident Investigation Prover_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Accident Investigation Prover tools via MCP.",
    tools=mcp_tools,
)

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.

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Common questions about Accident Investigation Prover MCP in Google ADK

Install `google-adk` and define your toolset using the Vinkius HTTP stream parameters. Pass this MCP toolset directly into the tools list of your `LlmAgent` to expose the validation capabilities.
Yes, it is built to handle massive context windows. Your agent can feed entire maintenance histories into this MCP integration without hitting token limits.
The validation engine returns structured failure details pointing to missing telemetry or weak causal chains. Your agent can parse this error payload and automatically query BigQuery for the missing flight parameters.
Yes, you can use the optional tool names filter in the `McpToolset` configuration. This lets you restrict access solely to the `validate_accident_investigation` tool for targeted safety workflows.
All maintenance records and AD compliance files are processed within ephemeral, zero-trust sandboxes. Vinkius guarantees that your operational safety logs are never cached or exposed to external networks during processing.

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