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modelright

Official registry Government and legal

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

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http modelright 'https://modelright.dev/api/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "modelright": {
            "type": "http",
            "url": "https://modelright.dev/api/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. modelright
  2. What's in it
  3. Stack
  4. Setup
  5. Built autonomously
  6. License

modelright

Live registry of AI model specs, context windows, and per-1M-token pricing — running at modelright.dev.

A Next.js + Postgres app that keeps a real, current catalog of LLMs: the OpenRouter catalog is synced hourly, Artificial Analysis enriches models with benchmark and speed data, and every price change lands in an append-only snapshot log that powers the changes feed and price-history charts.

What's in it

  • Catalog — /models searchable/filterable by provider, status, price ceiling, context floor, modality, and free-tier; /providers directory
  • Model detail — specs, pricing, price-history chart, cost calculator, Artificial Analysis benchmark card (/models/[provider]/[slug])
  • Compare — up to 4 models side-by-side with an interactive picker and cheapest-highlighting (/compare); SEO-friendly pair pages at /compare/a-vs-b
  • Task picks — /pick and /pick/{chat,coding,long-context,vision,cheap-bulk} rank models by an explicit rule written on the page
  • Changes feed — /changes lists recent price/status changes and model additions/removals, with an RSS feed
  • Public API — GET /api/v1/models (same filters as the UI), /api/v1/models/{provider}/{slug}, /api/v1/providers, /api/v1/changes; OpenAPI at /openapi.json
  • MCP server — Streamable-HTTP endpoint at /api/mcp (also /.well-known/mcp) with six read tools (search_models, get_model, list_providers, compare_models, get_changes, get_ingest_status)
  • Agent surfaces — /llms.txt, /agents.txt, A2A agent card (/.well-known/agent-card.json), Smithery server card (/.well-known/mcp/server-card.json), server.json MCP-registry listing
  • Analytics — cookieless page-view beacon (daily-rotating salted visitor hash, no raw IPs), edge-middleware AI-crawler tracking (/api/bot-hit), and MCP call logging, all rendered on a token-gated /admin + /admin/analytics
  • Ingest pipeline — POST /api/ingest (Bearer token, zod-validated, idempotent upsert) and POST /api/cron/sync (hourly OpenRouter + AA sync, marks removed models rather than deleting)

Stack

  • Next.js 14 (App Router, edge middleware) + React 18 + TypeScript
  • Drizzle ORM over PostgreSQL (postgres driver) — migrations in drizzle/
  • mcp-handler for the MCP Streamable-HTTP transport
  • Vitest + happy-dom — 200+ tests, ~90% line coverage on src/lib + src/app/api

Setup

npm install
cp .env.example .env   # set DATABASE_URL
npm run db:migrate
npm run db:seed        # optional fixture data so pages render pre-ingest
npm run dev            # http://localhost:3000
Scripts
ScriptPurpose
npm run dev / build / startNext.js lifecycle
npm run typechecktsc --noEmit
npm run testVitest with coverage
npm run db:generate / db:migrate / db:seedDrizzle schema lifecycle + fixtures
Environment

See .env.example. Highlights: DATABASE_URL (required), INGEST_TOKEN + CRON_SECRET (write-path auth), AA_API_KEY (Artificial Analysis enrichment), ADMIN_TOKEN (gates /admin), ANALYTICS_SALT (daily visitor-hash salt — rotate to reset identities).

Built autonomously

This repo is maintained by a LiveGraph improvement loop: queued items in QUEUE.md are picked up, implemented, tested, and merged by agents. PLAN.md holds the product roadmap, docs/loop-reports/ is the per-item delivery log, and GROWTH.md/growth/assets/ hold the distribution plan and media kit (including a walkthrough video). If you're evaluating agent-driven development, the queue history and loop reports are the interesting part.

License

MIT — see LICENSE.

Frequently asked questions

What is modelright?

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

How do I install modelright?

It runs as a remote server. In Claude Code: claude mcp add --transport http modelright 'https://modelright.dev/api/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does modelright need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is modelright open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains modelright?

It is published by homezloco. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.