io.github.helphub369/model-ruler

up checked 2026-11-10T16:37:35.512Z

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Publisher-provided title

Model Ruler — AI Cost Calculators

Publisher-provided description

Read-only AI/LLM cost tools with current MCP discovery and attributable Registry transport.

Summary by lookupd

Estimates LLM, RAG, fine-tuning, self-hosting and workflow costs, plus token counts and context-window fit, through read-only calculators.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http model-ruler 'https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry'

Codex, remote (streamable-http)

codex mcp add model-ruler --url 'https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry'

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "model-ruler": {
      "url": "https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (12 tools)

Publisher-provided text

• token-counter Use when a user asks how many tokens a given text will consume, or needs to estimate prompt size before pricing a workload. Given text and tokenizer family, ret
• provider-cost-calculator Use when a user asks what an LLM workload costs on a specific provider/model, or wants to compare cost across providers. Given tokens per call and call volume,
• self-host-breakeven-calculator Use when a user is deciding between API usage and self-hosted GPU inference at a given volume. Returns breakeven token volume, monthly cost comparison, and go/n
• context-window-planner Use when a user needs to know whether a document plus prompt plus output fits within a model's context window, or wants a strategy recommendation (truncate/summ
• quantization-calculator Use when a user is planning to quantize an LLM to fit on smaller hardware. Given parameter count and precision transition, returns VRAM requirement, speedup est
• fine-tune-roi-calculator Use when a user is considering fine-tuning vs prompt engineering. Returns training cost, monthly inference savings, months-to-ROI, and breakeven volume.
• eval-cost-calculator Use when a user needs to budget an LLM evaluation run. Given samples/models/trials, returns total cost, per-run cost, and parallel time estimate.
• observability-cost-calculator Use when a user needs to budget LLM observability tooling. Returns monthly cost at given request volume with retention adjustment.
• rag-pipeline-cost-calculator Use when a user needs end-to-end RAG cost estimation (embedding + vector store + generation). Returns monthly cost with breakdown and dominant-component identif
• automation-cost-calculator Use for generic or non-agent recurring workflow platform billing across Zapier task billing, Make credit billing, and n8n execution billing. Use agent-workflow-
• agent-workflow-cost-calculator Use for automation-platform/iPaaS cost of an AI agent workflow, including app-action fan-out and MCP tool-call accounting, explicitly excluding LLM token spend.
• agent-loop-cost-calculator Use for LLM inference/reasoning cost per successful multi-step agent task, including failure overhead and context growth across turns. Use agent-workflow-cost-c

Details

• Version: 1.0.4
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 1714 ms
• First indexed: 2026-11-01T09:33:11.603Z
• Last seen in registry: 2026-11-01T09:33:11.672Z
• Website: https://modelruler.dev/install/?source=official_registry

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