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PegaRex MCP Server

by com-pegarex Your server? Claim it
answering

PegaRex is answering right now. Last checked 10 min ago. It exposes 17 tools. Last commit 25 Sep 2026.

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

Uptime history 17 days of history · worst day 93%
17 days agonow
100.0%
Uptime 24h
92 of 92 checks
17
Tools
read from the server
766 ms
Response time
average over 24h
0
Stars
last commit 25 Sep 2026

What changed 18

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 1 October 2026. No other catalogue keeps this.

7 Oct a tool description was rewritten get_fipe_valuation
6 Oct 15 tools changed the parameters they ask for get_alternative_models, get_avg_days_to_sell, get_cheapest_states and 12 more
6 Oct a tool description was rewritten search_vehicles
1 Oct a tool changed version

PegaRex missed 2 checks this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add mcp --transport http https://pegarex.com.br/api/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://pegarex.com.br/api/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://pegarex.com.br/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://pegarex.com.br/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://pegarex.com.br/api/mcp"
    }
  }
}

Available tools 17

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

market
get_market_position
Posição 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_market_stats
Live 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.
alternative
get_alternative_models
Sugere 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.)
avg
get_avg_days_to_sell
Tempo 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.
brands
list_brands
List 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.
cheapest
get_cheapest_states
Estados (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.)
filter
list_filter_options
Return 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.
fipe
get_fipe_valuation
Valor 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".
listing
get_listing_details
Fatos do próprio anúncio (cor, portas, opcionais, vendedor, fonte, km, link). Use para perguntas diretas sobre este carro específico.
mileage
get_mileage_context
Avalia se a quilometragem deste carro é alta ou baixa para o modelo/ano (mediana do mercado + km/ano).
models
list_models
List models for a brand (pass brand_id from list_brands, or a brand name) with each model's catalog id and active listing count.
price
get_price_distribution
Faixa de preços (mínimo, p25, mediana, p75, máximo) de anúncios ativos semelhantes. Use para dar contexto de preço. (year_tolerance ±anos, padrão 1, máx 5.)
similar
get_similar_active_listings
Outras 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.)
technical
get_technical_specs
Ficha 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'.
vehicle
get_vehicle_by_id
Fetch 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.
vehicles
search_vehicles
Search 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). 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.
versions
list_versions
List 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.

Endpoints

URLTransportStateLatencyChecked
https://pegarex.com.br/api/mcp streamable-http answering 724 ms 10 min ago

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PegaRex — questions

Answers built from our own checks of this server.

What can PegaRex do?
It exposes 17 tools, read directly from the server on our last check. Among them: get_alternative_models, get_avg_days_to_sell, get_cheapest_states, get_fipe_valuation, get_listing_details, get_market_position and 11 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is PegaRex working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 766 ms. The bar chart above shows every period we have measured.
How do I connect PegaRex?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does PegaRex need an API key?
No. PegaRex completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 17 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is PegaRex?
It answers our handshake in 766 ms on average, which is faster than 12% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is PegaRex open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.