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Vinkius

Supply Chain Prover Connector for AI agents.

1 live capability

Audit your inventory and logistics with rigorous supply chain math.

Live agent request Supply Chain Prover / Connector

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AI Agent

Why people use Supply Chain Prover

Stop Supply Chain Failures with Supply Chain Prover Logistics Audits

This Connector forces the AI to stop talking and start calculating. It demands a statistical model for demand, a specific formula for your reorder points, and a hard limit on how much you can rely on a single supplier. You get a rigorous audit instead of a polite suggestion.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

That this Connector turns vague AI suggestions into mathematically verified supply chain plans.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Fixing the Warehouse Glut

    A manufacturer ordered 340% of actual demand because the AI didn't account for the bullwhip effect.

  2. Real-world use case 02

    Mitigating Single-Source Crisis

    An electronics firm lost millions when a single factory burned down.

  3. Real-world use case 03

    Optimizing Logistics Leakage

    A clothing brand is overpaying for air freight on basic items.

Complete set · 1capability

The complete Supply Chain Prover capability set.

These are the exact actions your AI can choose when you ask it to work with Supply Chain Prover.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Supply Chain Prover.

  1. 01 Capability

    Validate supply chain

    Runs a full audit of demand, inventory, suppliers, logistics, and bullwhip risks. It identifies specific failures like "gut-feel" forecasting or single-source concentration.

Set up in minutes

One URL. Then ask Supply Chain Prover to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Supply Chain Prover from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_gnMLLaJHLgjF6bpjmnzHK69lzFr08vqBoNvl20LE/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Supply Chain Prover, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Supply Chain Prover for the conversation.

Where the request belongs

Work Supply Chain Prover can move forward.

Built around the request

This is for operations leads and procurement officers who are tired of dealing with stockouts, overages, and logistics headaches caused by unreliable planning.

01

Supply Chain Manager

Uses the Connector to validate quarterly plans and ensure inventory levels match actual demand models.

02

Procurement Officer

Audits supplier concentration to ensure the company isn't at risk from a single geographic point of failure.

03

Logistics Coordinator

Analyzes shipping costs per unit to decide which items should move by sea versus air freight.

04

Operations Lead

Uses the capability to identify bullwhip effects in the supply chain and reduce order batching frequency.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
EOQ Calculator logo
01 3 capabilities

EOQ Calculator

Optimize inventory replenishment by calculating the Economic Order Quantity (EOQ) and reorder points.

View Connector
Days of Supply Calculator logo
02 3 capabilities

Days of Supply Calculator

Monitor inventory health by calculating stock coverage and identifying supply risks.

View Connector
Reorder Point Calculator logo
03 3 capabilities

Reorder Point Calculator

Calculate optimal reorder points and safety stock levels based on demand volatility and service level targets.

View Connector
Safety Stock Calculator logo
04 4 capabilities

Safety Stock Calculator

Calculate optimal safety stock levels using Square Root, Statistical, and Fixed Coverage methods.

View Connector
Bullwhip Effect Calculator logo
05 3 capabilities

Bullwhip Effect Calculator

Quantify demand amplification and identify instability patterns in supply chains.

View Connector
Factor (Cofactr) logo
06 11 capabilities

Factor (Cofactr)

Automate supply chain operations via Factor (Cofactr). manage parts, purchase orders, and inventory directly through your AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Supply Chain Prover connected.

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Before you connect

Questions about Supply Chain Prover.

The practical details behind the request, access and result.

How does the Supply Chain Prover MCP help with inventory?

It calculates your Economic Order Quantity (EOQ) and safety stock levels for every SKU. This helps you avoid over-ordering and prevents stockouts by using actual lead time and demand variability math.

Can the Supply Chain Prover MCP find risks in my supplier list?

Yes, it audits your supplier concentration. It flags if you are too dependent on one factory or region and suggests dual-sourcing plans to protect your production line.

How does it stop the bullwhip effect?

It analyzes your order batching frequency and POS data sharing. By identifying where demand is being amplified as it moves up the chain, it helps you stabilize your inventory levels.

Does the Supply Chain Prover MCP handle different shipping modes?

It breaks down your logistics costs by mode, including air, sea, road, and rail. It helps you see the cost-per-unit for each so you can optimize your shipping strategy.

Can it help me with demand forecasting?

It replaces "gut-feel" guesses with rigorous statistical requirements. It ensures your AI agent uses models like ARIMA with confidence intervals and MAPE scores.

Why is gut-feel forecasting dangerous?

'We expect demand to grow' is a hope, not a forecast. Statistical forecasting uses historical decomposition (trend + seasonality + noise), selects the right model (exponential smoothing for stable demand, ARIMA for complex patterns), provides confidence intervals ('10,000 ± 1,500 units at 95%'), and measures accuracy with MAPE. Toyota measures forecast error weekly. What is yours?

What is the bullwhip effect?

A 10% demand increase at retail becomes a 20% order increase at distributor, 40% at manufacturer, and 80% at raw material supplier. Each echelon amplifies the signal 2-5x. Causes: order batching, price fluctuations, demand forecasting errors, lead time inflation. Mitigate with: POS data sharing upstream (Walmart/P&G model), smaller and more frequent orders, price stabilization, and lead time compression.

Why does last-mile cost 40-53% of total logistics?

Container shipping moves 20,000 TEUs at $0.10-0.30/kg. A truck moves 20 tons at $0.50-2.00/kg. A delivery van moves 200 packages at $5-15 each. Each step loses economies of scale. The last mile has the smallest vehicles, most stops, most failed deliveries (15-20% not-at-home), and highest labor cost per unit. Solving last-mile is a $100B+ industry problem.

One connection away

Give your agent a direct line to Supply Chain Prover.

Connect Supply Chain Prover once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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