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Connect Local Delivery Price Plan 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. Set accurate delivery fees based on real operational costs.

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 Local Delivery Price Plan.

  1. 01

    Calculate margin impact

    This capability shows how changing your profit margin affects the final price. It calculates the difference between a percentage or fixed margin and the total fee.

  2. 02

    Get cost breakdown

    This capability provides a full itemized list of every cost component. It breaks down the specific expenses for a single delivery configuration.

  3. 03

    Optimize fee for target

    This capability reverse-engineers the math to hit a specific price. It tells you the exact margin or cost adjustment needed to reach a target delivery fee.

  4. 04

    Validate pricing parameters

    This capability checks your proposed pricing logic. It ensures your delivery parameters are sound and stay within reasonable bounds.

Real work

What teams actually run

01

Setting New Delivery Rates

Use the capability to build a pricing model that includes fuel and driver pay for a new service area.

02

Profitability Auditing

Run a cost breakdown to see exactly where your delivery margins are being lost.

03

Customer Quote Generation

Reverse-engineer a fee to meet a specific customer budget while maintaining a set margin.

04

Scenario Modeling

Test how a rise in fuel costs or driver wages will change your final delivery fees.

One connector, every AI

Local Delivery Price Plan 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 Local Delivery Price Plan 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

931ms average. Fast in production.

Local Delivery Price Plan is checked daily against the live service.

Daily averagePeak 1122ms
Oct 6Today
Fastest day
689ms
Slowest day
1122ms
14-day trend
Improving-12%

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 Local Delivery Price Plan, so you can see the experience inside your AI.

It does not authenticate your account with Local Delivery Price Plan. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Local Delivery Price Plan Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XhXqGbcJdckCJfkSY5WcvMnGQsDJuyFwvH6Fv8bC/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 — Local Delivery Price Plan capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "local-delivery-price-plan-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XhXqGbcJdckCJfkSY5WcvMnGQsDJuyFwvH6Fv8bC/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 Local Delivery Price Plan in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Local Delivery Price Plan owners hand off.

This MCP is built for logistics professionals and small business owners who need to manage delivery profitability.

  • 01

    Logistics Managers

    They hand off cost-per-kilometer and driver pay data to the AI to set fleet pricing.

  • 02

    Delivery Business Owners

    They use the capability to ensure their delivery fees cover all operational expenses.

  • 03

    Operations Analysts

    They use the margin impact capabilities to model different pricing strategies.

FAQ

Questions Local Delivery Price Plan owners ask.

  • 01

    What variables can I use to calculate delivery costs?

    You can use distance, driver compensation, fuel costs per kilometer, time, and packaging expenses.

  • 02

    Can I set a fixed dollar margin instead of a percentage?

    Yes, the capability allows you to calculate the impact of both fixed and percentage-based margins.

  • 03

    How do I hit a specific price for a customer?

    Use the optimize_fee_for_target capability to find the exact margin or cost adjustment required to reach your target fee.

  • 04

    Does this MCP work with Claude or Cursor?

    Yes, it works with any MCP-compatible client including Claude, Cursor, Windsurf, and VS Code.

  • 05

    How does the capability ensure my pricing is correct?

    The validate_pricing_parameters capability checks your proposed parameters to ensure they are logically sound and within reasonable bounds.

  • 06

    How does the pricing engine calculate the final fee?

    The engine sums all operational costs--including distance, driver pay, fuel, time, and packaging--and then adds the specified margin (either a fixed amount or a percentage) to reach the final fee.

  • 07

    Can I check if my delivery parameters are realistic?

    Yes, you can use the validate_pricing_parameters capability to check if the distance, time, and driver pay are logically sound and within reasonable bounds.

  • 08

    How can I find the margin needed to reach a specific price?

    You can use the optimize_fee_for_target capability. It reverse-engineers the required margin or cost adjustments needed to hit your target delivery fee.

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