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MarketcheckHub

MarketCheck MCP Apps

MarketCheck MCP Apps

25 interactive automotive market intelligence dashboards — usable as MCP UI Apps inside AI assistants, as a standalone web showcase, or as embeddable iframe widgets in your own portal.

Powered by MarketCheck real-time automotive data — VIN decoding, ML price predictions, active/sold inventory, and aggregated market analytics.


4 Ways to Use

Mode

Description

Auth Required

Demo

Browse all 25 apps with realistic sample data

None

Live Data

Connect your MarketCheck API key for real market data

API Key

Embed

Embed apps in your website/portal via iframe

OAuth Access Token (secure, 6hr TTL)

MCP / AI

Use inside Claude, VS Code Copilot, Goose, and other MCP hosts

API Key (server env)

Don't have an API key? Sign up free at developers.marketcheck.com


Quick Start

# Install dependencies
npm install

# Build everything (gallery + 25 apps + server)
npm run build

# Start the server
npm run serve

Then open:

Demo Mode (no server needed)

Open any built HTML file directly in your browser — all apps have mock data:

open packages/apps/used-car-market-index/dist/index.html
open packages/apps/deal-evaluator/dist/index.html
open packages/apps/trade-in-estimator/dist/index.html

Test with MCP test host

# Terminal 1: Start server
npm run serve

# Terminal 2: Run the official MCP test host
git clone https://github.com/modelcontextprotocol/ext-apps.git /tmp/ext-apps
cd /tmp/ext-apps/examples/basic-host
npm install
SERVERS='["http://localhost:3001/mcp"]' npm start
# → Open http://localhost:8080, pick a tool, call it, see the app render

Test with Claude

# Terminal 1: Start server
npm run serve

# Terminal 2: Tunnel to internet
npx cloudflared tunnel --url http://localhost:3001

Copy the tunnel URL, then in Claude:

  1. Go to Settings → Connectors → Add Custom Connector

  2. Paste the URL with /mcp suffix (e.g., https://random-name.trycloudflare.com/mcp)

  3. Start a new chat and ask Claude to use any tool

Custom connectors require a paid Claude plan (Pro, Max, or Team).


All 25 Apps

Consumer Apps

#

App

Tool Name

Description

25

Used Car Market Index

get-market-index

Stock-ticker-style dashboard for the used car market. Track prices like Wall Street tracks stocks.

7

Trade-In Estimator

estimate-trade-in

Instant 3-tier trade-in value (private party / dealer / cash offer) with sold comp evidence.

5

Deal Evaluator

evaluate-deal

Enter a VIN, get a Buy/Negotiate/Pass verdict with gauge, negotiation toolkit, and alternatives.

6

Car Search & Compare

search-cars, compare-cars

Visual car shopping with filters, photo cards, badges, and side-by-side comparison.

24

OEM Incentives Explorer

oem-incentives-explorer

Search cash-back, APR, and lease deals by ZIP. Compare across brands. Savings calculator.

Appraiser Apps

#

App

Tool Name

Description

1

Appraiser Workbench

appraiser-workbench

Multi-panel valuation studio — retail/wholesale predictions, active/sold comps, price history timeline.

2

Comparables Explorer

comparables-explorer

Price distribution histogram + price-vs-mileage scatter plot with percentile positioning.

3

Depreciation Analyzer

depreciation-analyzer

Multi-model depreciation curves, segment comparison, geographic variance, brand residual rankings.

4

Market Trends Dashboard

market-trends-dashboard

Macro market view — movers, segment donut, brand residuals, state rankings, markup tracker.

Dealer Apps

#

App

Tool Name

Description

8

Lot Pricing Dashboard

scan-lot-pricing

Full lot inventory with market price gaps, aging heatmap, floor plan burn, and stocking hot list.

9

Stocking Intelligence

stocking-intelligence

Demand heatmap, buy/avoid lists, and VIN checker for auction run-list evaluation.

Dealership Group Apps

#

App

Tool Name

Description

10

Group Operations Center

group-operations-center

Multi-location health cards, alert feed, cross-store transfer recommendations.

11

Location Benchmarking

location-benchmarking

Rooftop-vs-rooftop comparison across 4 KPIs with Canvas bar charts.

12

Inventory Balancer

inventory-balancer

Supply/demand matrix with specific vehicle transfer recommendations.

Analyst Apps

#

App

Tool Name

Description

13

Earnings Signal Dashboard

earnings-signal-dashboard

Pre-earnings 6-dimension channel check with bull/bear scenarios for auto tickers.

14

Watchlist Monitor

watchlist-monitor

Morning signal scan across tracked tickers with sparklines and priority alerts.

15

Dealer Group Scorecard

dealer-group-scorecard

Benchmark 8 public dealer groups with radar charts and peer matrix.

Lender Apps

#

App

Tool Name

Description

16

Portfolio Risk Monitor

portfolio-risk-monitor

LTV distribution histogram, underwater loan alerts, segment exposure donut, depreciation heatmap.

17

EV Collateral Risk Monitor

ev-collateral-risk

EV vs ICE depreciation gap curves, brand risk table, state adoption heatmap, advance rate recs.

Insurer App

#

App

Tool Name

Description

18

Claims Valuation Workbench

claims-valuation

Total-loss determination with settlement range, comparable evidence, and replacement options.

Manufacturer Apps

#

App

Tool Name

Description

19

Brand Command Center

brand-command-center

Market share bars, pricing power scatter, model drill-down, regional heatmap, conquest analysis.

20

Regional Demand Allocator

regional-demand-allocator

State-level D/S ratios, segment mix comparison, allocation shift recommendations.

Auction House App

#

App

Tool Name

Description

21

Auction Lane Planner

auction-lane-planner

Lane planning grid, consignment pipeline, buyer targeting, run-list VIN pricer.

Lender Sales App

#

App

Tool Name

Description

22

Territory Pipeline

territory-pipeline

Territory state map, dealer prospect ranking, profile cards with call prep, pipeline funnel.

Cross-Segment App

#

App

Tool Name

Description

23

EV Market Monitor

ev-market-monitor

EV adoption trends, price parity tracker, brand leaderboard, state penetration, depreciation comparison.


App Details

App 25: Used Car Market Index

"The stock ticker for cars."

Track used car prices like Wall Street tracks stocks. Composite market index, segment indices (SUV, Sedan, Truck, EV, Luxury), and individual Make:Model tickers with candlestick-style charts.

  • Canvas line/area chart with volume bars, crosshair hover, multi-ticker overlay (up to 4)

  • Sector heatmap — body type × price tier grid colored by price change %

  • Top Gainers / Losers / Most Active tables

  • Geographic comparison — state-level pricing for any ticker

  • Watchlist strip with mini sparklines

  • Toggle: Absolute $ ↔ Indexed (base=100), US ↔ UK

App 7: Trade-In Estimator

"What's my car worth?"

Enter VIN + mileage + ZIP + condition → get three value tiers:

  1. Private Party Value — selling direct

  2. Trade-In Value — franchise dealer offer

  3. Instant Cash Range — independent dealer offers

Each with horizontal range bars. Condition cards (Excellent/Good/Fair/Poor) recalculate instantly without API calls. Expandable "How We Got This Number" with sold comp evidence.

App 5: Deal Evaluator

"Should I buy this car?"

Enter a VIN → get a color-coded verdict (Great Deal / Fair / Above Market / Overpriced) with a Canvas semicircular gauge showing market position. Three-column layout: This Car specs, Market Context stats, Negotiation Toolkit with suggested offer and leverage points. Scrollable alternative cars row.

App 6: Car Search & Compare

Visual car shopping with filter chips (body type, fuel, make, year, price, mileage), photo card grid with deal badges, and side-by-side comparison of up to 3 cars with auto-highlighted winner.

App 1: Appraiser Workbench

Three-panel valuation studio:

  • Left: Retail + wholesale predictions with range bars and % of MSRP

  • Center: Tabbed Active Comps / Sold Comps (color-coded tables) / History (Canvas stepped line chart)

  • Right: Full vehicle spec card from VIN decode

App 8: Lot Pricing Dashboard

Weekly dealer workflow. Full inventory with market price gaps (DROP/HOLD/RAISE badges), aging heatmap (DOM buckets), floor plan burn calculator, and stocking hot list with D/S ratios.

App 13: Earnings Signal Dashboard

Pre-earnings channel check for auto tickers (F, GM, TM, TSLA, etc.). 6-dimension signal matrix (Volume, Pricing, Inventory, DOM, EV, Mix) with Canvas sparklines and individual BULL/BEAR badges. Composite signal + bull/bear scenario panel.

App 18: Claims Valuation Workbench

Insurance total-loss determination. Enter VIN + damage severity + condition → get verdict banner (NOT TOTAL LOSS / LIKELY / TOTAL LOSS), settlement range bar (25th–75th percentile), comparable evidence table, regional variance, and replacement vehicle options.


Architecture

marketcheck-mcp-apps/
├── package.json                    # Monorepo root (npm workspaces)
├── tsconfig.base.json              # Shared TypeScript config
├── scripts/build-apps.mjs          # Builds all 25 app UIs
├── packages/
│   ├── shared/                     # Shared utilities
│   │   └── src/
│   │       ├── types.ts            # Common TypeScript types
│   │       ├── formatters.ts       # Currency, percent, signal classifiers
│   │       ├── index-calculator.ts # Index computation, depreciation, D/S ratio
│   │       ├── marketcheck-client.ts # Typed MarketCheck API wrapper
│   │       └── app-template.ts     # Shared UI components (KPI cards, tables, badges)
│   ├── server/                     # MCP server (all 25 tools)
│   │   └── src/
│   │       ├── index.ts            # Express + MCP server, registers all tools
│   │       ├── register-app.ts     # Helper to register tool + UI resource pairs
│   │       └── tools/              # 25 tool handler files
│   └── apps/                       # 25 app UI folders
│       ├── used-car-market-index/
│       │   ├── package.json
│       │   ├── vite.config.ts
│       │   ├── index.html
│       │   ├── src/main.ts         # Full app UI code
│       │   └── dist/index.html     # Built single-file HTML bundle
│       ├── trade-in-estimator/
│       ├── deal-evaluator/
│       └── ... (22 more)

How it works

  1. The MCP server registers 25 tools, each with a _meta.ui.resourceUri pointing to a ui:// resource

  2. When a host (Claude, VS Code, etc.) calls a tool, it also fetches the UI resource — a single-file HTML bundle containing the entire app

  3. The app renders in a sandboxed iframe inside the host

  4. The app calls app.callServerTool() for data and app.updateModelContext() to push results back to the LLM

  5. All apps include mock data fallback so they work even without a live MarketCheck API key

Tech stack

  • Server: @modelcontextprotocol/sdk + @modelcontextprotocol/ext-apps + Express

  • UI: Vanilla TypeScript + Canvas 2D API (no chart libraries) + @modelcontextprotocol/ext-apps App class

  • Build: Vite + vite-plugin-singlefile → single HTML file per app (~400KB, ~98KB gzipped)

  • Data: MarketCheck API (9 endpoints: VIN decode, price prediction, active/sold search, listing history, sold summary, OEM incentives, UK markets)


Embedding Apps in Your Portal

Embed any app as an iframe in your website. For security, use OAuth access tokens (not API keys) — tokens expire in 6 hours and can be revoked.

Step 1: Generate an OAuth Access Token

Exchange your API key + client secret for a short-lived token (server-side):

curl -X POST https://api.marketcheck.com/oauth2/token \
  -H "Content-Type: application/json" \
  -d '{"grant_type":"client_credentials","client_id":"YOUR_API_KEY","client_secret":"YOUR_SECRET"}'

Step 2: Embed with the Token

<iframe
  src="https://your-domain.com/apps/deal-evaluator/dist/index.html?access_token=TOKEN&embed=true&vin=5TDJSKFC2NS055758"
  width="100%" height="700"
  style="border:none;border-radius:8px;"
></iframe>

URL Parameters

Param

Description

access_token

OAuth token (secure, 6hr TTL)

api_key

API key (for personal/internal use only)

embed=true

Hides chrome, full-bleed layout, auto-executes

vin

Pre-populate VIN field

zip

Pre-populate ZIP code

make, model

Pre-populate vehicle selection

miles

Pre-populate mileage

state

Pre-populate state

Security

Auth Method

Exposure Risk

Recommended For

OAuth Access Token

Low (6hr TTL, revocable)

Iframe embedding

API Key in URL

Medium (doesn't expire)

Internal/personal use only

API Key in server env

None

MCP server mode

Generate credentials at developers.marketcheck.com/api-keys


Deployment

Environment Variables

MARKETCHECK_API_KEY=your_api_key    # Required for MCP mode live data
MC_API_BASE=https://mc-api.marketcheck.com/v2  # Default
PORT=3001                           # Server port (default 3001)

Yes — these apps can be hosted on Vercel. The server uses stateless HTTP mode (sessionIdGenerator: undefined), which is compatible with Vercel's serverless functions.

npm install -g vercel

Create vercel.json in the project root:

{
  "buildCommand": "npm run build",
  "functions": {
    "api/mcp.ts": {
      "maxDuration": 30
    }
  },
  "rewrites": [
    { "source": "/mcp", "destination": "/api/mcp" }
  ]
}

Create api/mcp.ts:

import type { VercelRequest, VercelResponse } from "@vercel/node";
// Import and initialize your MCP server here
// Handle req/res with StreamableHTTPServerTransport

Then deploy:

vercel --prod

Note: Each tool call is a single HTTP POST → response cycle, which fits Vercel's serverless model well. The 30-second timeout is sufficient for most tools. Set MARKETCHECK_API_KEY in Vercel's environment variables.

Option 2: Google Cloud Run (container)

# Build container
docker build -t marketcheck-mcp-apps .
docker tag marketcheck-mcp-apps gcr.io/YOUR_PROJECT/marketcheck-mcp-apps

# Push and deploy
docker push gcr.io/YOUR_PROJECT/marketcheck-mcp-apps
gcloud run deploy marketcheck-mcp-apps \
  --image gcr.io/YOUR_PROJECT/marketcheck-mcp-apps \
  --port 3001 \
  --set-env-vars MARKETCHECK_API_KEY=your_key \
  --allow-unauthenticated

Option 3: Railway / Render / Fly.io

Any platform that supports Node.js:

# Railway
railway up

# Render — set build command: npm run build
# Start command: npm run serve

# Fly.io
fly launch
fly deploy

Option 4: Self-hosted (VPS, EC2, etc.)

npm install && npm run build
PORT=3001 MARKETCHECK_API_KEY=your_key npm run serve

Do I need to host on cloud?

For personal/local use: No. Run npm run serve locally and use cloudflared tunnel to connect to Claude. The apps work fully offline with mock data too.

For team/production use: Yes, host on any cloud platform. The server is a standard HTTP service — no WebSockets, no sessions, no state. Any platform that can run a Node.js HTTP server works.

The apps themselves don't need separate hosting. They're served as MCP resources from the server — the HTML is bundled into the server response. You only host the single MCP server.


MarketCheck API Tools

The server wraps these MarketCheck API endpoints as MCP tools:

Tool

Endpoint

Purpose

decode_vin_neovin

POST /decode/neovin

VIN → full specs (year, make, model, trim, MSRP, engine, etc.)

predict_price_with_comparables

GET /pricing/predict

ML price prediction with comparable vehicle citations

search_active_cars

GET /search/car/active

Current dealer listings with 100+ filters, stats, facets

search_past_90_days

GET /search/car/past90

Recently sold/expired listings for transaction evidence

get_car_history

GET /history/listings

Full listing timeline for a VIN across dealers

get_sold_summary

GET /api/v1/sold-vehicles/summary

Aggregated sold data with ranking/grouping dimensions

search_oem_incentives_by_zip

GET /incentives/by-zip

Manufacturer incentives by ZIP code

search_uk_active_cars

GET /search/car/uk/active

UK market active listings

search_uk_recent_cars

GET /search/car/uk/recents

UK market recent/sold listings


MCP Host Compatibility

MCP Apps are supported by:


Development

Build a single app

cd packages/apps/deal-evaluator
npx vite build

Build all apps

npm run build

Add a new app

  1. Create packages/apps/my-new-app/ with package.json, tsconfig.json, vite.config.ts, index.html, src/main.ts

  2. Create packages/server/src/tools/my-new-app.ts with the tool handler

  3. Import and register in packages/server/src/index.ts

  4. Run npm install && npm run build

Project stats

Metric

Value

Total apps

25

Total TypeScript lines

~24,000

Source files

163

Built HTML bundles

25 (~400KB each, ~98KB gzipped)

External chart libraries

0 (all Canvas 2D)

Mock data

Every app has full offline fallback


License

MIT

-
security - not tested
F
license - not found
-
quality - not tested

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