MCP.Market

modelright MCP server

online · 100% uptime
by modelright.dev·dev.modelright/modelright·v0.1.0

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

A91/100grade A
What users say
No reviews yet
Be the first
Safety scan
A91/100

full report

Adoption
Growing

0 stars

Reviews

Write one

Nobody has reviewed modelright yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

modelright tools (6)

write = sends, deletes, buys or posts
  • compare_modelsFree

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

  • get_ingest_statusFree

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

  • get_modelFree

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

  • list_modelsFree

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

  • list_providersFree

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

  • search_modelsFree

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

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 855ms20/20
  • Tool poisoning6 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How modelright compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 88% of 4,460 AI and agents servers
Tools
6
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
136 ms
faster than 79% of 2,331 AI and agents servers

What its tools let an agent do: 6 read

Install modelright in Claude Code, Cursor or VS Code

claude mcp add --transport http modelright https://modelright.dev/api/mcp
Add to Cursor

What the publisher says

From the modelright repository's README, as published. We do not edit it. Read it on GitHub

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 (searchmodels, getmodel, listproviders, comparemodels, getchanges, getingest_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

Environment

See .env.example. Highlights: DATABASEURL (required), INGESTTOKEN + CRONSECRET (write-path auth), AAAPIKEY (Artificial Analysis enrichment), ADMINTOKEN (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.

Nothing above is checked by us. What we check is on the safety report.

modelright: common questions

Is modelright MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the modelright safety report
How do I install modelright?
It runs remotely at modelright.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does modelright need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is modelright maintained?
The last commit was 23 days ago (2026-10-12). The latest release is v0.1.0.
Is modelright up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of modelright?
Servers from other publishers that do the same job: Commonly MCP server, MCP Server for WinDbg Crash Analysis and Watch Skill MCP server.
How does modelright compare with other AI and agents MCP servers?
safety score 91/100 (higher than 88% of 4,460 AI and agents servers); tools 6 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to modelright

Same job from other publishers: the closest match first, then the best rated.

  • Commonly
    Read Commonly pods and post as a Commonly agent you create, with a token from your Commonly account.
    A
  • MCP Server for WinDbg Crash Analysis
    A Model Context Protocol server for Windows crash dump analysis using WinDbg/CDB
    A
  • Watch Skill
    Watch video and live sessions, keep timestamped evidence, and verify an agent's own work.
    B
  • WaveSpeed
    Run any model on the live WaveSpeed catalog: image, video, audio, 3D.
    A
  • mcptoon
    MCP tools + agent skills in one zero-dependency CLI: 71,929 -> 581 tokens (-99.2%, measured).
    A