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Connect Defect Evidence Record to ChatGPT, Claude and Gemini

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. Turn raw defect observations into ready-to-submit warranty evidence.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 Defect Evidence Record.

  1. 01

    Analyze defect completeness

    This capability checks if a single defect observation contains enough supporting data to satisfy warranty requirements.

  2. 02

    Generate evidence record

    This capability pulls together observations, usage logs, and warranty status into one organized report.

  3. 03

    Search evidence gaps

    This capability finds the specific missing links between a defect observation and the proof required for a claim.

  4. 04

    Verify warranty compliance

    This capability checks if the product's actual usage history matches the constraints set by the warranty.

Real work

What teams actually run

01

Pre-submission Audits

Run a check on all collected defect data to ensure every claim has the required photos and timestamps.

02

Usage Compliance Checks

Verify if a customer's product usage falls within the allowed parameters of their specific warranty tier.

03

Automated Evidence Gathering

Use your agent to compile multiple defect observations into a single, cohesive evidence record.

04

Field Data Validation

Instantly determine if a field technician's observation is complete enough to proceed with a claim.

One connector, every AI

Defect Evidence Record 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 Defect Evidence Record 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

933ms average. Fast in production.

Defect Evidence Record is checked daily against the live service.

Daily averagePeak 1047ms
Oct 3Today
Fastest day
750ms
Slowest day
1047ms
14-day trend
Slowing+23%

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 Defect Evidence Record, so you can see the experience inside your AI.

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

Defect Evidence Record Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Cip1CI3f8lXBXGsWA4uFlm6pssT8q2W7sWmW5m4I/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 — Defect Evidence Record capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "defect-evidence-record-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Cip1CI3f8lXBXGsWA4uFlm6pssT8q2W7sWmW5m4I/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 Defect Evidence Record in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Defect Evidence Record owners hand off.

This MCP is built for professionals managing technical product lifecycles and warranty fulfillment.

  • 01

    Quality Assurance Engineers

    They hand off defect observations to the agent to verify if the data is sufficient for a claim.

  • 02

    Warranty Administrators

    They use the agent to check if product usage aligns with specific warranty tiers.

  • 03

    Technical Support Leads

    They use the agent to generate structured evidence reports from field observations.

FAQ

Questions Defect Evidence Record owners ask.

  • 01

    What can this MCP do with my defect data?

    It allows your agent to analyze if defect observations are complete, check for warranty compliance, and find missing evidence.

  • 02

    Which AI clients can I use with this MCP?

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

  • 03

    How does it help with warranty claims?

    It bridges the gap between raw observations and successful claims by identifying evidentiary gaps and verifying usage history against warranty rules.

  • 04

    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.

  • 05

    Can it tell me why a claim might be rejected?

    Yes, it can identify if an observation is missing required data or if the product usage violates warranty constraints.

  • 06

    How does this server help with warranty claims?

    It uses generate_evidence_record to aggregate observations and usage history, identifying exactly what is missing to satisfy warranty requirements.

  • 07

    Can I check if my product usage violates the warranty?

    Yes, the verify_warranty_compliance capability checks if the recorded usage history aligns with the constraints defined in the warranty rules.

  • 08

    What happens if my evidence is incomplete?

    You can use search_evidence_gaps to find out which specific types of proof, such as high-resolution photos or timestamps, are still required.

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