How to Use the Accident Investigation Prover MCP in CrewAI

Deploy a specialized CrewAI team to investigate accidents using the Accident Investigation Prover MCP Server for systemic analysis.

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Connect Accident Investigation Prover MCP to CrewAI

Create your Vinkius account to connect Accident Investigation Prover to CrewAI 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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Setup Accident Investigation Prover with CrewAI

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Multi-agent safety auditing with CrewAI

Assign one agent to aggregate FDR data and another to run `validate_accident_investigation`. This separation allows your crew to focus on different aspects of the ICAO Annex 13 process simultaneously. The server acts as the validator for your team. It ensures the research agent doesn't jump to conclusions without proper evidence correlation.

Organizational failure detection for CrewAI teams

Your agents can now look beyond the cockpit. By using `validate_accident_investigation`, they map organizational influences like budget and scheduling against the active failures found in flight logs. This gives your crew a broader view of safety. You'll catch systemic issues that a single agent would likely miss during a standard review.

Actionable safety deployment in CrewAI

Generate measurable recommendations that your crew can act on immediately. The `validate_accident_investigation` tool forces the team to define success criteria for every proposed safety upgrade. This moves your operations from observation to resolution. Your agents will produce reports that actually force change in the organization.

Setup guide

Set up Accident Investigation Prover MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Accident Investigation Prover tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Accident Investigation Prover Analyst",
    goal="Access and analyze Accident Investigation Prover data via MCP.",
    backstory="Expert analyst with direct Accident Investigation Prover access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Accident Investigation Prover transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Accident Investigation Prover Analyst",
        goal="Access and analyze Accident Investigation Prover data via MCP.",
        backstory="Expert analyst with direct Accident Investigation Prover access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Accident Investigation Prover transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

Define the server URL in your agent configuration. You can then expose `validate_accident_investigation` to your investigation crew as a core tool.

Absolutely. The tool is built to handle multi-causal analysis, making it perfect for the specialized roles you define within your crew.

It provides a rigorous safety framework for your agents to follow. You still maintain final authority, but the analysis is grounded in ICAO standards.

It mandates the use of HFACS and Reason's Model. This forces the agents to weigh evidence impartially and document systemic failures.

Security is enforced through ephemeral sessions. We isolate your FDR and CVR data, ensuring it is purged immediately after the investigation tool completes its analysis.

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