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okaneland-mcp

okaneland-mcp

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okaneland.comBusiness & Marketing0Updated 12w ago

About okaneland-mcp

@okaneland/mcp is a local stdio MCP server for AI tool pricing and AI product margin calculations. It combines a live, human-verified price index with a local calculator that estimates costs, retained revenue, and break-even points.

Key features

  1. 01Fetch current pricing for 100+ AI tools
  2. 02Filter prices by category, query, or ID
  3. 03Calculate revenue after costs and taxes
  4. 04Estimate break-even price and usage cap
  5. 05Run margin calculations locally

Use cases

  1. 01Compare pricing for AI tools
  2. 02Estimate an AI product's monthly retained revenue
  3. 03Set a break-even subscription price
  4. 04Assess token usage limits for a product

MCP support

The server runs over stdio and exposes pricing lookup and margin calculation tools to an MCP client. Pricing is fetched from a public HTTPS index at call time; margin calculations run locally.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"thebaronofai-okaneland": {
"command": "npx",
"args": [
"-y",
"@okaneland/mcp"
]
}
}
}
Run commandnpx -y @okaneland/mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@okaneland/mcp0.1.1

Tools

2

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
idstringNoExact tool id, e.g. 'creatify' or 'cursor'.
limitintegerNoMaximum number of tools to return.
querystringNoFree-text match against a tool's name, description, id, or category.
categorystringNoExact category name to filter by (see the list in this tool's description).

Details

From the project README

@okaneland/mcp

A small Model Context Protocol server that gives AI agents two things from Okane Land:

ToolWhat it does
get_ai_tool_pricesCurrent, human-verified pricing for 100+ AI tools solo builders use, with what's free, what a real month costs, the gotcha, and the last-verified date. Fetched live from the maintained price index.
calculate_ai_marginTurns an AI product's MRR into what you actually keep after the token bill, card fees, failed payments, refunds, and tax, plus the break-even price and usage cap.

It runs on the user's machine over stdio, so there is nothing to host. get_ai_tool_prices fetches the public /api/v1/prices.json at call time, so the data is always as fresh as the site's monthly re-verification.

Install

Add it to your MCP client's config (Claude Desktop, Cursor, Windsurf, and others use the same shape):

{
  "mcpServers": {
    "okaneland": {
      "command": "npx",
      "args": ["-y", "@okaneland/mcp"]
    }
  }
}

Restart the client. The two tools appear in any agent you run there.

Example

You: I want a $20/mo AI writing tool on Claude Sonnet. What do similar tools charge, and would $20 keep money at 500 users?

The agent calls get_ai_tool_prices and calculate_ai_margin, then answers from real data: comparable tools charge more, and at 500 users on a Sonnet-class blend you keep about $3,260/mo (33%), staying profitable down to a $12.25 price or up to 3.3M tokens per user.

Tool reference

get_ai_tool_prices

Inputs (all optional): category, query, id, limit. Returns the matching tool rows plus the index's updated date, method, and source page.

calculate_ai_margin

Inputs: pricePerMonth, payingCustomers, blendedTokenPricePerM, tokensPerUserM, and optional monthlyChurnPct (6.1), intlCardPct (40), vatPct (0), failedPaymentsPct (9), refundsPct (3). Returns gross, tokenBill, cardFees, failedPayments, refunds, tax, keep, keepPct, perCustomerKeep, customersReplacedMonthly, breakEvenPrice, breakEvenTokensPerUserM, and tokenCostExceedsPrice.

Privacy

The server fetches only the public price index over HTTPS and sends nothing about you. The margin calculation runs entirely locally.

Develop

npm install
npm run build     # tsc -> dist/
npm test          # unit tests pin the margin math to the web calculator
npm run smoke     # spins up the server, runs the MCP handshake, calls both tools

The margin math in src/margin.ts is a port of Okane Land's margin calculator; src/margin.test.ts pins its known-good outputs so the two cannot silently drift.

Disclaimer

Numbers are directional, not financial advice.

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.