Moltline Dropship

Margin, lead time, SKU mapping and price-ladder maths for dropshipping.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Margin Check: Show what one sale actually leaves after every cost. FREE. Subtracts supplier cost, shipping, payment fees, the ad spend that found the buyer, and anything else — then reports the break-
  • Lead Time: Turn supplier and transit times into a date you can promise. FREE. Adds a buffer, because the number a supplier quotes is their best case and the date you publish is a commitment. Typical i
  • Sku Map Check: Find the breaks in a supplier-to-store SKU map before they ship. FREE. Two store SKUs pointing at one supplier SKU is usually intentional; two supplier SKUs claiming one store SKU is no

What data it sees

Do you need an account

No: the server works without sign-in

Margin, lead time, SKU mapping and price-ladder maths for dropshipping. 4 of 6 tools free.

Part of Moltline Studio: 22 hosted MCP servers, 160 tools, 110 of them free — no account, no API key, no signup. Independently audited — MCPize Verified A.

Direct endpoint: https://mcp.moltlinestudio.com/dropship

How to connect

How to connect Moltline Dropship to Claude

The server address to paste into Claude settings:

https://moltline-dropship--techdpr.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Moltline Dropship to ChatGPT

The server address to paste into ChatGPT settings:

https://moltline-dropship--techdpr.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Moltline Dropship to Cursor

The server address to paste into Cursor settings:

https://moltline-dropship--techdpr.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

margin_checkShow what one sale actually leaves after every cost. FREE. Subtracts supplier cost, shipping, payment fees, the ad spend that found the buyer, and anything else — then reports the break-even price so you know how much room there is. Typical input {"sell_price": 39.99, "supplier_cost": 12.4, "shipping_cost": 4.2, "ad_cost_per_order": 9} returns {"revenue": 39.99, "total_cost": 27.06, "profit": 12.93, "margin_pct": 32.33, "markup_pct": 222.5, "break_even_price": 27.06, "biggest_cost": "supplier_cost"}. Use before listing a product. Not for a whole tiered price list — that is price_ladder — and not for the effect of returns, which is returns_impact. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
lead_timeTurn supplier and transit times into a date you can promise. FREE. Adds a buffer, because the number a supplier quotes is their best case and the date you publish is a commitment. Typical input {"supplier_days": 3, "transit_days": 12, "order_date": "2026-08-20"} returns {"total_days": 17, "delivery_date": "2026-09-06", "promise_date": "2026-09-09", "advice": "..."}. Use when writing a shipping policy or answering "when will it arrive". Not for what the shipping costs — that is the shipping server. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "order_date must be YYYY-MM-DD, e.g. 2026-08-20"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
sku_map_checkFind the breaks in a supplier-to-store SKU map before they ship. FREE. Two store SKUs pointing at one supplier SKU is usually intentional; two supplier SKUs claiming one store SKU is not, and it sends the wrong item. Typical input {"mapping": {"STORE-1": "SUP-A", "STORE-2": "SUP-A", "STORE-3": ""}} returns {"ok": false, "count": 3, "empty_targets": ["STORE-3"], "shared_supplier_skus": {"SUP-A": ["STORE-1", "STORE-2"]}, "whitespace_issues": []}. Use before importing a mapping or handing one to a fulfilment app. Not for validating Shopify's CSV columns — that is the shopify server. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "mapping must contain at least one store SKU"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
price_ladderWork backwards from the margin you want to the price you must charge. FREE. Solves for price including the percentage fee, which is why it is not simply cost divided by one minus margin. Typical input {"supplier_cost": 12.4, "target_margins_pct": [30, 40, 50], "shipping_cost": 4.2} returns {"rows": [{"target_margin_pct": 30, "price": 25.99, "total_cost": 17.65, "profit": 8.34, "actual_margin_pct": 32.07}, ...]}. Use when setting a price list. Not for checking one price you already have — that is margin_check. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "target_margins_pct must contain at least one margin"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
moq_plannerDecide how much to order against demand, lead time and the cash you have. PREMIUM (license). A minimum order quantity is a cash-flow decision disguised as a purchasing one. Typical input {"unit_cost": 4.2, "moq": 500, "monthly_demand": 120, "cash_available": 3000, "lead_time_days": 45} returns {"moq_cost": 2100.0, "months_of_cover": 4.17, "affordable": true, "cash_after": 900.0, "reorder_point_units": 236, "verdict": "..."}. Use before committing to a supplier's minimum. Not for the margin each unit earns — that is margin_check. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
returns_impactShow what a return rate does to a margin that looked fine. PREMIUM (license). A 10% return rate does not cost 10% of profit. A returned order gives back the refund, adds inbound shipping, and recovers only the goods — never the advertising that found the buyer. Typical input {"sell_price": 39.99, "unit_profit": 13.23, "unit_cost": 12.4, "return_rate_pct": 8, "restock_pct": 70, "return_shipping": 6} returns {"cost_per_return": 37.31, "effective_profit": 10.25, "profit_lost_pct": 22.56, "break_even_return_rate_pct": 35.46}. Use when a category's returns are high enough to argue about. Not for the pre-returns margin itself — that is margin_check. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.