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//beforeyouship — LLM cost modeling from your editor

beforeyouship/cost-model

Model the realistic monthly cost of an LLM app **before you build it**. Not a token calculator: retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth are modeled in, across GPT-5.x, Claude, Gemini, DeepSeek, and more. **Works without a key.** Connect and ask — demo mode covers the six free-tier models. A Pro API key ([beforeyouship.dev](https://beforeyouship.dev)) unlocks the full 18-model catalog. ## Tools | Tool | What it does | |---|---| - **`estimate_cost`** Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case $/mo per model, growth scenarios, and an opinionated recommendation. | - **`get_model_prices`** Current per-1M-token pricing (input, output, cached, batch) with context windows and staleness metadata. | - **`list_archetypes`** Seven preset architecture patterns (chatbot, RAG pipeline, multi-step agent, …) used as starting points for estimates. | ## Try it Paste into Claude Code or Cursor after connecting: > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day ## Setup ```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ``` ## Links - Docs & tool reference: https://beforeyouship.dev/docs#mcp - Live calculator: https://beforeyouship.dev - Announcement: https://beforeyouship.dev/blog/query-llm-costs-from-claude-code

Uptime
—
no direct probes in 30d
Response
1314ms
last probe
Tools
3
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://beforeyouship.dev/docs#mcp

Tools · 3

list_archetypes

List the seven beforeyouship app archetypes (preset LLM architecture patterns: simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step …

get_model_prices

Current per-1M-token API pricing for LLM models (GPT-5.x, Claude, Gemini, DeepSeek, and more): input, output, cached input, and batch rates, plus context windows and pricing-staleness metadata. Use wh…

estimate_cost

Estimate the realistic monthly cost of running an LLM app, compared across models. Use when the user asks 'how much will it cost to run X', 'estimate my LLM API spend', 'which model is cheapest for my…

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "//beforeyouship_—_llm_cost_modeling_from_your_editor": {
      "url": "https://beforeyouship.dev/docs#mcp",
      "transport": "http"
    }
  }
}