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Connect Warehouse Picking Productivity Calculator to your AI

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 picking data into actionable operational metrics.

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 Warehouse Productivity Calculator.

  1. 01

    Calculate cost impact

    This capability calculates the specific financial cost for every line picked. It helps you see the direct relationship between labor spend and output.

  2. 02

    Evaluate operational efficiency

    This capability provides an OEE-style efficiency score. It compares your current picking performance against standard industry benchmarks.

  3. 03

    Compute picking rate

    This capability determines your picking throughput and error rates. It takes your total lines and time to show how fast and accurate your team is working.

Real work

What teams actually run

01

Shift Performance Reviews

Input the total lines and hours from a specific shift to see the picking rate and error percentage.

02

Labor Budgeting

Calculate the cost per line to determine if current staffing levels are cost-effective.

03

Quality Control

Monitor error rates to identify if picking accuracy is meeting warehouse standards.

04

Operational Benchmarking

Use the OEE capability to see if your warehouse efficiency matches industry targets.

One connector, every AI

Warehouse Productivity Calculator 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 Warehouse Productivity Calculator 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

719ms average. Fast in production.

Warehouse Productivity Calculator is checked daily against the live service.

Daily averagePeak 877ms
Oct 3Today
Fastest day
563ms
Slowest day
877ms
14-day trend
Slowing+21%

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 Warehouse Productivity Calculator, so you can see the experience inside your AI.

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

Warehouse Productivity Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_uOdJyAjjRxq5TBBjOOsH0SGxM9LZ1p2JvkGxMLTp/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 — Warehouse Productivity Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "warehouse-picking-productivity-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_uOdJyAjjRxq5TBBjOOsH0SGxM9LZ1p2JvkGxMLTp/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 Warehouse Productivity Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Warehouse Productivity Calculator owners hand off.

This MCP is for logistics professionals who need to turn raw warehouse logs into performance reports quickly.

  • 01

    Warehouse Manager

    Hands off raw shift data to the AI to get instant efficiency reports.

  • 02

    Logistics Analyst

    Uses the capability to calculate cost per line and labor impact for budget reviews.

  • 03

    Operations Supervisor

    Checks real-time picking rates and error percentages to monitor floor performance.

FAQ

Questions Warehouse Productivity Calculator owners ask.

  • 01

    What AI clients can I use with this MCP?

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

  • 02

    How do I calculate my cost per line?

    You can ask your agent to use the calculate_cost_impact capability by providing the total labor cost and the number of lines processed.

  • 03

    Can this capability help with error tracking?

    Yes, the compute_picking_rate capability calculates both your throughput and your error rate simultaneously.

  • 04

    What is the OEE score used for?

    The evaluate_operational_efficiency capability uses an OEE-style score to compare your warehouse performance against industry benchmarks.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect it.

  • 06

    How do I calculate my picking error rate?

    You can use the compute_picking_rate capability. Provide the total number of lines picked, the number of errors identified, and the hours worked to get your error rate percentage.

  • 07

    What is included in the OEE score calculation?

    The evaluate_operational_efficiency capability calculates an OEE score by comparing your actual picks per hour against a benchmark for your warehouse type (small, medium, or large), adjusted by your error rate.

  • 08

    Can I calculate the labor cost per line?

    Yes, use the calculate_cost_impact capability. By inputting your total labor costs and the number of lines processed, you can determine the direct financial investment required for each unit of throughput.

Connect Warehouse Productivity Calculator to Claude, Cursor, ChatGPT & more