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Model Ruler — AI Cost Calculators

by modelruler.dev in AI models & inference

MCP serverPassing, checked 2 h ago

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

https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry
Tools
12
open to any client
Uptime
100%
last 30 days
Response time
484 ms
834 ms slowest 5%
Last check
Passed
2 h ago, next in 5 h

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "model-ruler-ai-cost-calculators": {
      "type": "http",
      "url": "https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry"
    }
  }
}

12 tools

  • 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, returns low/high token range and byte-level measurements.

  • 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, returns monthly cost plus a tier comparison table.

  • 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/no-go recommendation.

  • 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/summarize/rag/chunk).

  • 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 estimate, and approximate quality delta.

  • 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 identification.

  • 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-cost-calculator instead when the workflow is explicitly an AI agent with app actions or MCP tool calls. Use…

  • 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. Use automation-cost-calculator for generic non-agent workflow billing. Use agent-loop-cost-calculator for LLM…

  • 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-calculator for iPaaS/app-action/MCP orchestration fees. Use automation-cost-calculator for generic Zapier/Make/n8n…

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