PegaRex

Search 1.8M+ live Brazilian used-car and motorcycle listings, with FIPE reference prices.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Search 1.8M+ live Brazilian used-car and motorcycle listings, with FIPE reference prices.

    How to connect

    How to connect PegaRex to Claude

    The server address to paste into Claude settings:

    https://pegarex.com.br/api/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect PegaRex to ChatGPT

    The server address to paste into ChatGPT settings:

    https://pegarex.com.br/api/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect PegaRex to Cursor

    The server address to paste into Cursor settings:

    https://pegarex.com.br/api/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (17)

    Raw names from tools/list. Only developers need these.

    search_vehiclesSearch 1.8M+ Brazilian vehicle listings aggregated from 96 platforms (OLX, Webmotors, Napista, etc.). Returns listings with price, year, mileage, location, source platform, the original ad URL, FIPE reference price and a deal_score (% vs FIPE; negative means priced below FIPE). A car listed on several sites comes back once (vehicle_sites says how many sites carry it); filtering by `source` returns that site's own ads instead. price_kind is set when the asking price is not the car's sale price ("installment": a monthly installment or down payment posted as the price; "equity": ágio, the buyer takes over a financing; "suspect" / "outlier_high": check the ad) — never present such a price as a bargain. Tips for best results: - Free-text `query` matches the listing TITLE only (e.g. "Onix LTZ turbo"). It needs at least one word of 3+ characters: "Ford Ka", not "Ka" alone. - For exact brand/model/version filtering, resolve names to ids first with list_brands / list_models / list_versions and pass brand_id/model_id/ version_id — it is faster and more accurate than the text fields. - `location` is a 2-letter UF (e.g. "SP") or a city name. - `sort_by="newest"` (default) lists the most recently LISTED cars first — the date a listing first appeared on its source, not when we last saw it. - `sort_by="best_deal"` ranks by lowest price-to-FIPE ratio. - `per_page` is capped at 50. Use `page` (1-20) to paginate; past the first 20 pages, narrow the search with filters. `total_count` and `total_pages` are returned.
    get_vehicle_by_idFetch the full details of a single listing by its PegaRex id: brand, model, version, year, price, mileage, fuel, transmission, city/state, FIPE price, deal_score, source platform and the original ad URL.
    get_market_statsLive size of the PegaRex database: total active listings, number of source platforms, and when the data was last refreshed. Use this for the current count instead of quoting a fixed number.
    list_brandsList available vehicle brands (makes) with their catalog id and active listing count. Pass a brand's id as `brand_id` to search_vehicles/list_models for fast, exact filtering.
    list_modelsList models for a brand (pass brand_id from list_brands, or a brand name) with each model's catalog id and active listing count.
    list_versionsList versions/trims for a model (pass model_id from list_models, or brand+model names) with each version's catalog id and active listing count.
    list_filter_optionsReturn the valid values for the constrained search filters — fuel_type, transmission, sort_by — and the list of source platforms. Use this to build a valid call to search_vehicles in a single round-trip.
    get_listing_detailsFatos do próprio anúncio (cor, portas, opcionais, vendedor, fonte, km, link). Use para perguntas diretas sobre este carro específico.
    get_technical_specsFicha técnica completa (motor, potência, torque, câmbio, consumo, desempenho, dimensões, freios, pneus). `section` opcional restringe a uma seção: 'Motor', 'Transmissão', 'Consumo', 'Desempenho', 'Dimensões', 'Freios', 'Pneus', 'Suspensão'.
    get_avg_days_to_sellTempo médio (mediana) que anúncios semelhantes ficam ativos antes de sair do ar — estimativa de liquidez/tempo de venda. 'model_year' (padrão) = mesmo modelo e ano; 'model' = todos os anos; 'model_state' = neste estado.
    get_cheapest_statesEstados (UF) onde este modelo está mais barato agora, por preço mediano crescente. Use para 'onde é mais barato comprar'. (top_n padrão 5, máx 10.)
    get_market_positionPosição de preço DESTE anúncio: vs. tabela FIPE e vs. o mercado de anúncios ativos do mesmo modelo. Use para 'esse preço é bom?' / 'está caro ou barato?'.
    get_price_distributionFaixa de preços (mínimo, p25, mediana, p75, máximo) de anúncios ativos semelhantes. Use para dar contexto de preço. (year_tolerance ±anos, padrão 1, máx 5.)
    get_similar_active_listingsOutras unidades à venda do MESMO modelo (mesmo carro, outros anúncios) — ex.: mais baratas, outras cores/anos. Use para 'tem opções mais baratas DESTE carro?'. NÃO use para sugerir modelos diferentes. (max_results padrão 5, máx 8; cheaper_only=true só mais baratos que este.)
    get_alternative_modelsSugere OUTROS MODELOS diferentes (outras marcas/modelos) na mesma categoria, faixa de preço e tipo de carroceria — alternativas de compra. Use para 'recomende outros modelos' / 'alternativas a este carro'. (max_results padrão 4, máx 6.)
    get_fipe_valuationValor oficial da tabela FIPE deste carro e tendência recente. Use para perguntas sobre a FIPE. `fipe_year` é o ano FIPE usado; 32000 é como a FIPE escreve "0 km" (carro novo) — mostre `fipe_year_label` ("0 km"), nunca "32000".
    get_mileage_contextAvalia se a quilometragem deste carro é alta ou baixa para o modelo/ano (mediana do mercado + km/ano).