MCP MeasureMCP Measure

index observed

modelright

Live registry of AI model specs, context windows, and per-token pricing.

Should I use this

Quality & Safety

A
Description quality
95%
Schema completeness
85%
Naming quality
97%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'compare_models' description lacks action verbin compare_models

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~828Tokens (tool definitions)
~1.1 KBTypical response size
Moderate attention impact (0.65% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "modelright": {
      "url": "https://modelright.dev/api/mcp"
    }
  }
}

Remote endpoints

https://modelright.dev/api/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢list_providers

List providers tracked by the registry with their model counts. Use provider slugs in list_models / get_model / compare_models.

Input Schema

{
  "type": "object",
  "properties": {}
}
🟢search_models(q, limit)

Substring search across model name, slug, and provider — the fast path to a model's provider/slug pair for the detail tools.

Input Schema

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "minLength": 1,
      "maxLength": 100,
      "description": "Search text, e.g. 'sonnet'"
    },
    "limit": {
      "description": "Max results (default 20)",
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    }
  },
  "required": [
    "q"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢list_models(provider, modality, status, minContextWindow, maxInputPricePerM, ...)

List tracked models with pricing and context windows. Filter by provider, modality tag, status, or price/context bounds.

Input Schema

{
  "type": "object",
  "properties": {
    "provider": {
      "description": "Provider slug filter, e.g. 'anthropic'",
      "type": "string"
    },
    "modality": {
      "description": "Modality tag filter, e.g. 'text', 'image', 'audio'",
      "type": "string"
    },
    "status": {
      "description": "Status filter, e.g. 'available', 'deprecated'",
      "type": "string"
    },
    "minContextWindow": {
      "description": "Minimum context window",
      "type": "integer",
      "exclusiveMinimum": 0,
      "maximum": 9007199254740991
    },
    "maxInputPricePerM": {
      "description": "Max input price per 1M tokens (USD)",
      "type": "number",
      "minimum": 0
    },
    "sort": {
      "description": "Sort order (default name)",
      "type": "string",
      "enum": [
        "name",
        "input_price_asc",
        "input_price_desc",
        "context_desc"
      ]
    },
    "limit": {
      "description": "Max results (default 100)",
      "type": "integer",
      "minimum": 1,
      "maximum": 500
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_model(provider, slug, snapshots)

Full detail for one model (provider+slug from search_models): specs, current price, status, and recent price/availability snapshots.

Input Schema

{
  "type": "object",
  "properties": {
    "provider": {
      "type": "string",
      "minLength": 1,
      "description": "Provider slug, e.g. 'openai'"
    },
    "slug": {
      "type": "string",
      "minLength": 1,
      "description": "Model slug, e.g. 'gpt-4o'"
    },
    "snapshots": {
      "description": "Recent snapshots to include (default 10, 0 to skip)",
      "type": "integer",
      "minimum": 0,
      "maximum": 50
    }
  },
  "required": [
    "provider",
    "slug"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪compare_models(models)

Side-by-side comparison of 2-10 models by provider/slug: context window, input/output price per 1M tokens, modalities, status.

Input Schema

{
  "type": "object",
  "properties": {
    "models": {
      "minItems": 2,
      "maxItems": 10,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "provider": {
            "type": "string",
            "minLength": 1,
            "description": "Provider slug, e.g. 'openai'"
          },
          "slug": {
            "type": "string",
            "minLength": 1,
            "description": "Model slug, e.g. 'gpt-4o'"
          }
        },
        "required": [
          "provider",
          "slug"
        ]
      },
      "description": "Models to compare"
    }
  },
  "required": [
    "models"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_ingest_status(limit)

Data-freshness check: registry totals and the most recent ingest runs (source, model count, status, time).

Input Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "description": "Recent ingest runs to return (default 10)",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

Community

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Evidence

Recent observations

verifiedversion not recorded6 tools