Polovnjak MCP
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., "@Polovnjak MCPwhat's the average price of a used Audi A4 in Serbia?"
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.
Polovnjak MCP
A multi-provider MCP server for used-vehicle marketplaces. Agents get one unified tool surface — search, listing details, price statistics, price history, and per-user saved-search watches — backed by pluggable marketplace adapters. Included adapters: polovniautomobili.com (source id pa) and mojauto.rs (source id ma), both Serbia.
Users sign in with Google via the standard MCP OAuth 2.1 flow; watches are private per user. Every listing the hub observes (from any user's searches, stats sampling, or watch checks) is recorded into a shared Postgres "market memory" that powers price history and trend queries no single marketplace offers.
Architecture
Adapters (
src/adapters/) implement a commonSourceAdapterinterface:search,getListing,getMakesModels, plus capability flags. Each adapter translates the canonical filters into its provider's query and maps results back into a canonical listing model. Listings carry composite ids likepa:12345678orma:3554254. Make names are alias-resolved per source ("VW" and "Volkswagen" both work everywhere); filters a source cannot express are reported as per-sourcewarningsin results.Tools (
src/tools/) fan out across adapters and merge results, tagging everything with its source. Categories cover cars, motorcycles, vans, light/heavy trucks, buses, trailers, campers, machinery, tractors, boats, and bicycles.Recorder (
src/recorder.ts) upserts every observed listing intolistingsand appends aprice_observationsrow on first sighting or price change.Auth (
src/auth/) is a self-hosted OAuth 2.1 authorization server (dynamic client registration, PKCE, refresh tokens) with Google OIDC as the identity layer. Tokens are stored hashed in Postgres.Storage is Postgres via Drizzle ORM; migrations run automatically at startup.
Related MCP server: Vehicle Database MCP Server
Quick start (Docker Compose)
Create a Google OAuth client at Google Cloud Console (type "Web application") with authorized redirect URI
<PUBLIC_URL>/auth/google/callback(e.g.http://localhost:8321/auth/google/callbackfor local use).Configure the environment:
cp .env.example .env
# set GOOGLE_CLIENT_ID and GOOGLE_CLIENT_SECRET (and PUBLIC_URL for non-local deployments)Start everything (MCP server + Postgres + FlareSolverr):
docker compose up -d --buildPoint your MCP client at
http://localhost:8321/mcp. The client will discover the OAuth metadata, register itself, and open a browser window for Google sign-in. Everything after that is per-user.
For a quick local test without Google credentials, set AUTH_MODE=none — the server then skips auth and uses a single local dev user.
Tools
Tool | Purpose |
| Registered marketplace sources with coverage and capability flags. Source ids are used in the |
| One page of normalized listings per source, merged and source-tagged. Filters: category, make/models, price/year/mileage/power ranges, fuel, body, gearbox, region/city, condition flags. Listings include |
| Full detail for one listing by composite id ( |
| Per-source taxonomy: makes, models of a make, regions, accepted filter values, city-name resolution. |
| Live market snapshot: min/p25/median/avg/p75/max + per-year breakdown, per source and combined, sampled from up to |
| Answered from the hub's own recorded observations: a single listing's price timeline (repricing detection) or a month-by-month trend for a segment (make/model/year). Coverage grows with usage. |
| Per-user saved searches across one or more sources. |
Agent skill
The repo ships an agent skill at .cursor/skills/car-market-hub/SKILL.md that teaches LLM agents how to use this server effectively (tool workflows, gotchas), with per-client connection guides for OpenAI, Claude, LibreChat, and Cursor in clients.md. Cursor picks it up automatically; for other platforms, copy the skill directory into that platform's skills location (e.g. .claude/skills/) or paste its contents into the agent's instructions.
Watch workflow
create_watchwith a name and filters (optionally restricted to specificsources) — current matches become the baseline.Later (e.g. a scheduled prompt: "check my car watches"),
check_watchesreturns only the listings that appeared since, per watch and per source.
Adding a new marketplace adapter
Create
src/adapters/<name>/and implement theSourceAdapterinterface from src/adapters/types.ts: pick a short stableid(used in composite listing ids), translate canonicalSearchQueryfilters into your provider's query, and map raw results into the canonicalListingSummary/ListingDetailshapes from src/domain/listing.ts.Register it in src/server.ts with
registerAdapter(...).
Search fan-out, watches, recording, and price history pick the new source up automatically.
Environment variables
Variable | Default | Meaning |
|
| HTTP listen port. |
|
| Public base URL; OAuth issuer and Google callback host. |
|
| Postgres connection string. |
|
|
|
| — | Google OAuth credentials (required in |
| — | Optional FlareSolverr instance for Cloudflare-challenge fallback. |
|
| Upstream response cache TTL. |
|
| Max concurrent upstream requests per adapter. |
|
| Upstream request timeout. |
Local development
npm install
docker compose up -d postgres # or point DATABASE_URL at your own Postgres
AUTH_MODE=none npm run dev # server on http://localhost:8080/mcpSchema changes: edit src/db/schema.ts, then npm run db:generate to produce a new migration under drizzle/ (applied automatically at startup).
Notes and limits
polovniautomobili.com has no public API; the adapter reads the site's Next.js data endpoints using Chrome TLS impersonation (impit), with FlareSolverr as Cloudflare-challenge fallback. Use responsibly and respect the site's terms of service.
Prices below 100 EUR are treated as "price on request" and excluded from stats and observations.
Watch checks scan the first two result pages (~50 newest listings) per source.
get_price_historyreflects only listings observed through this hub — it is a growing sample, not the full market.The previous single-provider implementation is kept for reference in
old/(not part of the build).
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Maintenance
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