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8 clients · secrets stay placeholders

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

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

[mcp_servers.model-ruler]
url = "https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "model-ruler": {
      "type": "remote",
      "url": "https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "model-ruler": {
      "type": "http",
      "url": "https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=model-ruler&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbW9kZWxydWxlci5kZXYvbWNwP2Rpc3Q9bW9kZWxfZXZlcnl3aGVyZV9yZWdpc3RyeV9uYXRpdmVfb2ZmaWNpYWxfcmVnaXN0cnkifQ%3D%3D"
}

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

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

extensions:
  "model-ruler":
    enabled: true
    name: "model-ruler"
    type: streamable_http
    uri: "https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry"
    timeout: 300

Quality 96 / 100strong

protocol88 · weight 25

pass
protocol.modernsupports 2026-07-28 (server/discover)
pass
protocol.statelessanswers without a session
pass
protocol.transportstreamable HTTP
warn
protocol.list_ttltools/list carries no ttlMs, so clients re-fetch it

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations12 of 12 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 3,384 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

12 tools, about 3,384 tokens to load them all · tool set 0c6fbc6f9d79 · checked 2026-10-19 10:20 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 79 / 100

no-repository

provenance45

liveness99

freshness100

hygiene80

+website +reachable +uptime-98% +updated-12d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry` streamable-http	none	yes	98%	877 ms	2026-07-28, 2024-11-05	2026-10-19

Tools (12)

`agent-loop-cost-calculator`read-only	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.
`agent-workflow-cost-calculator`read-only	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.
`automation-cost-calculator`read-only	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.
`context-window-planner`read-only	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).
`eval-cost-calculator`read-only	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.
`fine-tune-roi-calculator`read-only	Use when a user is considering fine-tuning vs prompt engineering. Returns training cost, monthly inference savings, months-to-ROI, and breakeven volume.
`observability-cost-calculator`read-only	Use when a user needs to budget LLM observability tooling. Returns monthly cost at given request volume with retention adjustment.
`provider-cost-calculator`read-only	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.
`quantization-calculator`read-only	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.
`rag-pipeline-cost-calculator`read-only	Use when a user needs end-to-end RAG cost estimation (embedding + vector store + generation). Returns monthly cost with breakdown and dominant-component identification.
`self-host-breakeven-calculator`read-only	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.
`token-counter`read-only	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.

Schemas: list_tools.

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Official server.json

{
  "name": "io.github.helphub369/model-ruler",
  "title": "Model Ruler — AI Cost Calculators",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://modelruler.dev/mcp?dist=model_everywhere_registry_native_official_registry",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.4",
  "websiteUrl": "https://modelruler.dev/install/?source=official_registry",
  "description": "Read-only AI/LLM cost tools with current MCP discovery and attributable Registry transport."
}