# Profitlee-MCP

> Use this tool when you need to analyze ecommerce profitability and calculate key metrics such as net profit and ROI. It solves problems related to pricing and cost analysis by providing accurate calculations based on inputs like product cost, selling price, and fees. The tool takes in various cost and revenue inputs and outputs detailed profit scenarios, making it ideal for use in ecommerce and marketplace optimization contexts.

Canonical page: https://skillsregistry.net/skills/aronleedev-profitlee-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aronleedev-profitlee-mcp

## Description

ProfitLee MCP is an MCP server for analyzing ecommerce and marketplace profitability. It helps users calculate net profit, profit margin, ROI, breakeven price, and fee-adjusted outcomes from product cost, selling price, shipping, ads, platform fees, and tax inputs. It also supports reusable profit scenarios so users can compare pricing and cost assumptions more easily.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jpawm76jpt)
- **Repository:** <https://github.com/AronLEEdev/profitlee-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aronleedev-profitlee-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aronleedev-profitlee-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aronleedev-profitlee-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
