A
licenseNot graded
qualityB
maintenanceEnables AI agents to query multi-cloud costs, inventory, waste, and commitments across AWS, GCP, Cloudflare, and OVH through read-only MCP tools.
Apache 2.0
Model Ruler — AI Cost Calculators
Server Details
Read-only AI/LLM cost tools with current MCP discovery and attributable Registry transport.
If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2024-11-05
- URL
- ChatGPT
- –
- Claude
- –
TDQS
A4/5.0
Scored across 12 tools
Disambiguation4/5
Most tools target a distinct cost dimension (eval, fine-tune, RAG, observability, quantization, self-host, tokens, provider), but the opening trio — agent-loop-cost-calculator, agent-workflow-cost-calculator, and automation-cost-calculator — all compute workflow/agent costs and are genuinely easy to confuse. The descriptions mitigate this by explicitly cross-referencing each other with 'use X instead when...', which keeps misselection recoverable but not impossible.
Naming Consistency4/5
Nearly all tools follow a consistent kebab-case '[domain]-calculator' pattern (eval-cost, rag-pipeline-cost, observability-cost, etc.), with only token-counter and context-window-planner deviating in suffix. The convention is uniform and predictable; the minor suffix variation reflects genuinely different output types rather than inconsistency.
Tool Count5/5
12 tools is well within the ideal 3-15 range and each calculator maps to a real, non-redundant cost question in the AI/LLM domain. No tool feels like filler, and the set is neither thin nor bloated.
Completeness4/5
The surface covers the major AI cost concerns: tokenization, provider pricing, RAG pipelines, evals, fine-tuning ROI, observability, quantization, self-host breakeven, context planning, and agent/automation billing. Minor gaps exist (e.g. no dedicated embedding-only or batch-API cost tool), but agents can approximate these via existing calculators.
Available Tools
12 toolsagent-loop-cost-calculatorAgent LLM Loop Cost CalculatorARead-onlyIdempotentInspect
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 workflow billing.
Inputs: tasks_per_month (required), model, provider, success_rate, +5 more.
agent-workflow-cost-calculatorAgent Workflow Platform Cost CalculatorARead-onlyIdempotentInspect
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 inference/reasoning cost per successful multi-step agent task.
Inputs: agent_runs_per_month (required), app_actions_per_run, make_modules_per_run, mcp_tool_calls_per_run.
automation-cost-calculatorWorkflow Automation Platform Cost CalculatorARead-onlyIdempotentInspect
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-loop-cost-calculator instead when the question is about LLM inference/reasoning cost per successful agent task.
Inputs: workflow_runs_per_month (required), make_modules_per_run, billable_steps_per_run.
context-window-plannerContext Window PlannerARead-onlyIdempotentInspect
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).
Inputs: doc_tokens (required), model_context_window (required), strategy_hint, overhead_tokens, +1 more.
eval-cost-calculatorEvaluation Cost CalculatorARead-onlyIdempotentInspect
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.
Inputs: samples (required), model, models, provider, +6 more.
fine-tune-roi-calculatorFine-Tune ROI CalculatorARead-onlyIdempotentInspect
Use when a user is considering fine-tuning vs prompt engineering. Returns training cost, monthly inference savings, months-to-ROI, and breakeven volume.
Inputs: train_tokens (required), monthly_inference_tokens (required), train_cost_per_1m, prompt_reduction_pct, +2 more.
observability-cost-calculatorLLM Observability Cost CalculatorARead-onlyIdempotentInspect
Use when a user needs to budget LLM observability tooling. Returns monthly cost at given request volume with retention adjustment.
Inputs: provider (required), requests_per_day (required), avg_log_bytes, retention_days.
provider-cost-calculatorLLM Provider Cost CalculatorARead-onlyIdempotentInspect
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.
Inputs: tokens_in (required), tokens_out (required), model, provider, +2 more.
quantization-calculatorQuantization CalculatorARead-onlyIdempotentInspect
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.
Inputs: params_billions (required), batch_size, precision_to, precision_from, +1 more.
rag-pipeline-cost-calculatorRAG Pipeline Cost CalculatorARead-onlyIdempotentInspect
Use when a user needs end-to-end RAG cost estimation (embedding + vector store + generation). Returns monthly cost with breakdown and dominant-component identification.
Inputs: corpus_tokens (required), queries_per_day (required), vector_store, answer_tokens, +7 more.
self-host-breakeven-calculatorSelf-Host Breakeven CalculatorARead-onlyIdempotentInspect
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.
Inputs: monthly_tokens (required), gpu_type, gpu_provider, utilization_pct, +2 more.
token-counterToken CounterARead-onlyIdempotentInspect
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.
Inputs: text (required), tokenizer, expected_out_tokens.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Related MCP Connectors
- Costory FinOps MCPDeprecatedio.costory
FinOps harness MCP: allocated cloud, data and LLM bills. Build on it or switch. Cloud read-only.
Read-only MCP tools for AI agent discovery, structured resources, and NIULAI information.
Ledger of record for AI spend: verifiable receipts, waste auditor & model arbitrage MCP.
Read-only MCP access to a documented IT fleet: state, changes, posture. 15 tools.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query multi-cloud cost and usage data through a uniform read-only toolset, including cost summaries, trends, budgets, forecasts, and optimization recommendations.MIT
- FlicenseNot gradedqualityAmaintenanceEnables users to query AWS cloud costs, run waste and savings audits, and check budget status in natural language across multiple accounts, profiles, and regions. Runs locally using existing AWS CLI credentials, keeping them on the user's machine while connecting to MCP-compatible AI clients.-
- AlicenseNot gradedqualityDmaintenanceAWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service/account/tag, pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. Curated by Archimedes Market with a verified Trust Report.MIT
Try in Browser
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
Glama MCP Gateway
Add one secure layer between your agents and this server.