About modelright
modelright is a live catalog of AI model specifications, context windows, and token pricing. It helps developers compare models, inspect price changes, and query the catalog through a public API or MCP tools.
Key features
- 01Searchable model and provider catalog
- 02Model specifications and pricing
- 03Price history and change feed
- 04Side-by-side model comparisons
- 05Task-based model rankings
- 06Public API and six MCP tools
Use cases
- 01Compare model costs and context windows
- 02Track changes to model prices or status
- 03Find models ranked for a task
- 04Retrieve model details from an agent
MCP support
The Streamable-HTTP MCP endpoint exposes six read tools for model search, details, provider listings, comparisons, changes, and ingestion status.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://modelright.dev/api/mcpclaude mcp add --transport http dev-modelright-modelright https://modelright.dev/api/mcp{"mcpServers":{"dev-modelright-modelright":{"type":"http","url":"https://modelright.dev/api/mcp"}}}Open in Cursor{"servers":{"dev-modelright-modelright":{"type":"http","url":"https://modelright.dev/api/mcp"}}}Open in VS Code{"mcpServers":{"dev-modelright-modelright":{"type":"http","url":"https://modelright.dev/api/mcp"}}}{"mcpServers":{"dev-modelright-modelright":{"serverUrl":"https://modelright.dev/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
6This tool takes no parameters.
Details
From the project READMEmodelright
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 —
/modelssearchable/filterable by provider, status, price ceiling, context floor, modality, and free-tier;/providersdirectory - 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 —
/pickand/pick/{chat,coding,long-context,vision,cheap-bulk}rank models by an explicit rule written on the page - Changes feed —
/changeslists 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.jsonMCP-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) andPOST /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 (
postgresdriver) — migrations indrizzle/ - 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
| Script | Purpose |
|---|---|
npm run dev / build / start | Next.js lifecycle |
npm run typecheck | tsc --noEmit |
npm run test | Vitest with coverage |
npm run db:generate / db:migrate / db:seed | Drizzle 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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.