MarketCheck MCP Apps
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MarketCheck MCP AppsFind a 2022 Honda Civic near Miami and show me if it's a good deal."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 serveThen open:
Gallery: http://localhost:3001/ — browse all 25 apps, enter API key
MCP endpoint: http://localhost:3001/mcp — for AI assistant connectors
Any app directly: http://localhost:3001/apps/{app-name}/dist/index.html
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.htmlTest 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 renderTest with Claude
# Terminal 1: Start server
npm run serve
# Terminal 2: Tunnel to internet
npx cloudflared tunnel --url http://localhost:3001Copy the tunnel URL, then in Claude:
Go to Settings → Connectors → Add Custom Connector
Paste the URL with
/mcpsuffix (e.g.,https://random-name.trycloudflare.com/mcp)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 |
| Stock-ticker-style dashboard for the used car market. Track prices like Wall Street tracks stocks. | |
7 |
| Instant 3-tier trade-in value (private party / dealer / cash offer) with sold comp evidence. | |
5 |
| Enter a VIN, get a Buy/Negotiate/Pass verdict with gauge, negotiation toolkit, and alternatives. | |
6 |
| Visual car shopping with filters, photo cards, badges, and side-by-side comparison. | |
24 |
| Search cash-back, APR, and lease deals by ZIP. Compare across brands. Savings calculator. |
Appraiser Apps
# | App | Tool Name | Description |
1 |
| Multi-panel valuation studio — retail/wholesale predictions, active/sold comps, price history timeline. | |
2 |
| Price distribution histogram + price-vs-mileage scatter plot with percentile positioning. | |
3 |
| Multi-model depreciation curves, segment comparison, geographic variance, brand residual rankings. | |
4 |
| Macro market view — movers, segment donut, brand residuals, state rankings, markup tracker. |
Dealer Apps
# | App | Tool Name | Description |
8 |
| Full lot inventory with market price gaps, aging heatmap, floor plan burn, and stocking hot list. | |
9 |
| Demand heatmap, buy/avoid lists, and VIN checker for auction run-list evaluation. |
Dealership Group Apps
# | App | Tool Name | Description |
10 |
| Multi-location health cards, alert feed, cross-store transfer recommendations. | |
11 |
| Rooftop-vs-rooftop comparison across 4 KPIs with Canvas bar charts. | |
12 |
| Supply/demand matrix with specific vehicle transfer recommendations. |
Analyst Apps
# | App | Tool Name | Description |
13 |
| Pre-earnings 6-dimension channel check with bull/bear scenarios for auto tickers. | |
14 |
| Morning signal scan across tracked tickers with sparklines and priority alerts. | |
15 |
| Benchmark 8 public dealer groups with radar charts and peer matrix. |
Lender Apps
# | App | Tool Name | Description |
16 |
| LTV distribution histogram, underwater loan alerts, segment exposure donut, depreciation heatmap. | |
17 |
| EV vs ICE depreciation gap curves, brand risk table, state adoption heatmap, advance rate recs. |
Insurer App
# | App | Tool Name | Description |
18 |
| Total-loss determination with settlement range, comparable evidence, and replacement options. |
Manufacturer Apps
# | App | Tool Name | Description |
19 |
| Market share bars, pricing power scatter, model drill-down, regional heatmap, conquest analysis. | |
20 |
| State-level D/S ratios, segment mix comparison, allocation shift recommendations. |
Auction House App
# | App | Tool Name | Description |
21 |
| Lane planning grid, consignment pipeline, buyer targeting, run-list VIN pricer. |
Lender Sales App
# | App | Tool Name | Description |
22 |
| Territory state map, dealer prospect ranking, profile cards with call prep, pipeline funnel. |
Cross-Segment App
# | App | Tool Name | Description |
23 |
| 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:
Private Party Value — selling direct
Trade-In Value — franchise dealer offer
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
The MCP server registers 25 tools, each with a
_meta.ui.resourceUripointing to aui://resourceWhen a host (Claude, VS Code, etc.) calls a tool, it also fetches the UI resource — a single-file HTML bundle containing the entire app
The app renders in a sandboxed iframe inside the host
The app calls
app.callServerTool()for data andapp.updateModelContext()to push results back to the LLMAll apps include mock data fallback so they work even without a live MarketCheck API key
Tech stack
Server:
@modelcontextprotocol/sdk+@modelcontextprotocol/ext-apps+ ExpressUI: Vanilla TypeScript + Canvas 2D API (no chart libraries) +
@modelcontextprotocol/ext-appsApp classBuild: 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 |
| OAuth token (secure, 6hr TTL) |
| API key (for personal/internal use only) |
| Hides chrome, full-bleed layout, auto-executes |
| Pre-populate VIN field |
| Pre-populate ZIP code |
| Pre-populate vehicle selection |
| Pre-populate mileage |
| 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)Option 1: Vercel (recommended for serverless)
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 vercelCreate 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 StreamableHTTPServerTransportThen deploy:
vercel --prodNote: 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_KEYin 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-unauthenticatedOption 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 deployOption 4: Self-hosted (VPS, EC2, etc.)
npm install && npm run build
PORT=3001 MARKETCHECK_API_KEY=your_key npm run serveDo 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 |
|
| VIN → full specs (year, make, model, trim, MSRP, engine, etc.) |
|
| ML price prediction with comparable vehicle citations |
|
| Current dealer listings with 100+ filters, stats, facets |
|
| Recently sold/expired listings for transaction evidence |
|
| Full listing timeline for a VIN across dealers |
|
| Aggregated sold data with ranking/grouping dimensions |
|
| Manufacturer incentives by ZIP code |
|
| UK market active listings |
|
| 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 buildBuild all apps
npm run buildAdd a new app
Create
packages/apps/my-new-app/withpackage.json,tsconfig.json,vite.config.ts,index.html,src/main.tsCreate
packages/server/src/tools/my-new-app.tswith the tool handlerImport and register in
packages/server/src/index.tsRun
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
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