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okaneland-mcp

okaneland-mcp

by TheBaronofAI
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript

@okaneland/mcp

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

Tool

What it does

get_ai_tool_prices

Current, 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_margin

Turns 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.

Related MCP server: Model Price Watch

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

Available Tools

2 tools
calculate_ai_marginA

Turn an AI product's MRR into what the builder actually keeps after the token bill, card processing fees, failed payments, refunds, and sales tax. Also returns the break-even price and the break-even usage cap (tokens per user), the per-customer margin, and a flag when a flat price sits below its own token cost. A metered token bill is owed even past revenue, so a loss is unbounded (not floored at the gross). All monetary values are USD per month. Mirrors Okane Land's margin calculator; directional, not financial advice.

Inputs: pricePerMonth (required), tokensPerUserM (required), payingCustomers (required), blendedTokenPricePerM (required), +5 more.

get_ai_tool_pricesA

Current, human-verified pricing for 100+ AI tools that solo builders use (coding agents, editors and assistants, app and UI builders, frameworks and APIs, local models, marketing and content, sales and automation, search and research, review/test/secure, workflow and ops). For each tool it returns: what is free, the entry paid plan, what a real working month actually costs, per-unit costs, the gotcha to watch, and the date the row was last verified. Source: Okane Land's maintained price index (okaneland.com). Filter by category, a free-text query, or an exact tool id. Valid categories: 'Agents & terminal', 'App & UI builders', 'Editors & assistants', 'Frameworks & APIs', 'Local models', 'Marketing & content', 'Review, test & secure', 'Sales & automation', 'Search & research', 'Workflow & ops'.

Inputs: id, limit, query, category.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools serve clearly distinct purposes: one retrieves pricing data, the other calculates margins. No overlap or confusion.

    Naming Consistency5/5

    Both tool names follow a consistent verb_noun pattern in snake_case ('get_ai_tool_prices', 'calculate_ai_margin'), making them predictable and easy to understand.

    Tool Count4/5

    With only 2 tools, the server is minimal but focused on a specific niche (AI tool pricing and margin analysis). It covers the core functionality without being overly thin.

    Completeness4/5

    The tool set covers the primary needs: retrieving price data and calculating margins. Minor gaps like a category listing tool are mitigated by the filtering capabilities.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

    Resources

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