An astronaut overseeing a futuristic data hub

Connect Leftover Inventory Manager 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. Turn your material offcuts into usable stock.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Leftover Inventory Manager.

  1. 01

    Filter incoming waste

    This capability adds new pieces to your inventory after filtering them against your minimum usable size requirements.

  2. 02

    Get inventory composition

    This capability provides a summary of your current offcut stock organized by size tiers.

  3. 03

    Match requirement to offcut

    This capability searches your existing inventory to find the best piece for a specific set of dimensions.

Real work

What teams actually run

01

Post-Cut Inventory Updates

After a machine finishes a run, the agent processes the resulting waste pieces into the inventory.

02

Job Costing and Estimation

Before starting a new project, the agent checks if existing offcuts can cover the material needs.

03

Waste Reduction Audits

Management uses the inventory composition capability to see how much usable material is sitting in the scrap bin.

04

Optimized Material Selection

The agent selects the smallest possible offcut that fits a requirement to save larger pieces for bigger jobs.

One connector, every AI

Leftover Inventory Manager 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 Leftover Inventory Manager 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

684ms average. Fast in production.

Leftover Inventory Manager is checked daily against the live service.

Daily averagePeak 1061ms
Oct 3Today
Fastest day
562ms
Slowest day
1061ms
14-day trend
Stable+3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Leftover Inventory Manager, so you can see the experience inside your AI.

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

Leftover Inventory Manager Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_07FhTL8ywERBDcxnH3w5q6SF9zlNkHIkOjYEA0kY/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 — Leftover Inventory Manager capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "leftover-inventory-manager-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_07FhTL8ywERBDcxnH3w5q6SF9zlNkHIkOjYEA0kY/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 Leftover Inventory Manager in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Leftover Inventory Manager owners hand off.

This MCP is built for manufacturing and fabrication environments where material efficiency is a priority.

  • 01

    Production Managers

    They hand off cutting logs to the AI to keep the offcut inventory updated.

  • 02

    Inventory Controllers

    They use the agent to audit scrap levels and reduce new material orders.

  • 03

    Estimators

    They ask the agent to check for existing offcuts before calculating the cost of a new job.

FAQ

Questions Leftover Inventory Manager owners ask.

  • 01

    How does the MCP handle very small scraps?

    You can set a minimum usable threshold. The filter_incoming_waste capability will automatically discard any pieces that fall below your specified dimensions.

  • 02

    Can I use this with any AI client?

    Yes, this MCP works with any client that supports the Model Context Protocol, such as Claude, Cursor, or Windsurf.

  • 03

    Does Vinkius host the data?

    Vinkius hosts the MCP and manages the connection, making it ready to use immediately after you connect your client.

  • 04

    How does the agent decide which offcut to use?

    The match_requirement_to_offcut capability looks through your current inventory to find the piece that best fits the requested dimensions.

  • 05

    Can I see a summary of what I have in stock?

    Yes, you can ask your agent to provide an inventory composition, which breaks down your stock into size tiers.

  • 06

    How does the system decide which pieces to keep?

    The filter_incoming_waste capability uses a minimum usable length threshold. Any piece shorter than this value is discarded as true waste.

  • 07

    How do I find the best piece for a new project?

    Use the match_requirement_to_offcut capability. It searches your inventory and selects the piece that satisfies your dimensions while resulting in the least wasted area.

  • 08

    Can I see a summary of my current stock?

    Yes, the get_inventory_composition capability provides a high-level summary of available pieces categorized by Small, Medium, and Large size tiers.

Connect Leftover Inventory Manager to Claude, Cursor, ChatGPT & more