What AI clients can use this MCP?

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

How does the MCP help with root cause analysis?

The MCP uses the generate_root_cause_hypotheses capability to propose logical explanations based on the identified failure mode.

Can this MCP suggest specific lab tests?

Yes, the suggest_diagnostic_tests capability recommends specific laboratory or field tests to validate your hypotheses.

Does this MCP handle structural integrity?

Yes, the evaluate_structural_integrity capability assesses the relationship between a crack and the material's resistance to further propagation.

Do I need to host the MCP myself?

No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

How can I identify the cause of a crack in a metal part?

You can use the analyze_failure_mode capability by providing a description of the component and your visual observations of the crack surface.

Can this capability help with fatigue analysis?

Yes, by using analyze_failure_mode and evaluate_structural_integrity, you can analyze fatigue-related patterns and assess the risk of further crack propagation.

What kind of tests can be recommended?

The suggest_diagnostic_tests capability recommends specific laboratory or field tests, such as SEM or hardness testing, based on your identified hypotheses.

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Connect Failure Analysis Methodology to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Diagnose physical component failures with engineering precision.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Failure Analysis Methodology.

01
Analyze failure mode
This capability identifies the specific physical mechanism that caused a component to fail.
02
Evaluate structural integrity
Use this to check how a crack or failure affects a material's ability to resist further propagation.
03
Generate root cause hypotheses
This capability proposes logical explanations for why a specific failure mode occurred.
04
Suggest diagnostic tests
Get recommendations for specific laboratory or field tests to validate your findings.

Real work

What teams actually run

Fatigue Analysis

Identify fatigue cracking in mechanical parts by analyzing surface striations.

Structural Stability Checks

Calculate if a known crack depth poses a risk to a component under specific loads.

Design Flaw Validation

Determine which laboratory tests, like SEM, are needed to prove a design error.

Field Failure Investigation

Use environmental data to help the AI propose why a part failed in service.

One connector, every AI

Failure Analysis Methodology 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.

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

You don't need a client to put Failure Analysis Methodology 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

865ms average. Fast in production.

Failure Analysis Methodology is checked daily against the live service.

Daily averagePeak 1076ms

Oct 3Today

Fastest day: 748ms
Slowest day: 1076ms
14-day trend: Stable+1%

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 Failure Analysis Methodology, so you can see the experience inside your AI.

It does not authenticate your account with Failure Analysis Methodology. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Failure Analysis Methodology Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_19qtyvhVpEvy2NEYnG3r9BofDtJndw35CI5iiwVX/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Failure Analysis Methodology capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "failure-analysis-methodology-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_19qtyvhVpEvy2NEYnG3r9BofDtJndw35CI5iiwVX/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? Set up Failure Analysis Methodology in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Failure Analysis Methodology owners hand off.

This MCP is built for engineers and quality professionals who need to move from observation to actionable diagnostic plans.

01
Quality Assurance Engineers
Use the MCP to standardize how you investigate component defects.
02
Forensic Engineers
Hand off visual data to the AI to help build root cause hypotheses.
03
Materials Scientists
Use the capability to assess crack propagation and structural stability.

FAQ

Questions Failure Analysis Methodology owners ask.

01
What AI clients can use this MCP?
You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.
02
How does the MCP help with root cause analysis?
The MCP uses the generate_root_cause_hypotheses capability to propose logical explanations based on the identified failure mode.
03
Can this MCP suggest specific lab tests?
Yes, the suggest_diagnostic_tests capability recommends specific laboratory or field tests to validate your hypotheses.
04
Does this MCP handle structural integrity?
Yes, the evaluate_structural_integrity capability assesses the relationship between a crack and the material's resistance to further propagation.
05
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.
06
How can I identify the cause of a crack in a metal part?
You can use the analyze_failure_mode capability by providing a description of the component and your visual observations of the crack surface.
07
Can this capability help with fatigue analysis?
Yes, by using analyze_failure_mode and evaluate_structural_integrity, you can analyze fatigue-related patterns and assess the risk of further crack propagation.
08
What kind of tests can be recommended?
The suggest_diagnostic_tests capability recommends specific laboratory or field tests, such as SEM or hardness testing, based on your identified hypotheses.

Explore

More in Quality Assurance

Connect Failure Analysis Methodology to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Analyze failure mode

Evaluate structural integrity

Generate root cause hypotheses

Suggest diagnostic tests

What teams actually run

Fatigue Analysis

Structural Stability Checks

Design Flaw Validation

Field Failure Investigation

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

Failure Analysis Methodology Connector

Claude Desktop

Quality Assurance Engineers

Forensic Engineers

Materials Scientists

What AI clients can use this MCP?

How does the MCP help with root cause analysis?

Can this MCP suggest specific lab tests?

Does this MCP handle structural integrity?

Do I need to host the MCP myself?

How can I identify the cause of a crack in a metal part?

Can this capability help with fatigue analysis?

What kind of tests can be recommended?

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