PegaRex — Buscador Inteligente de Veículos. Encontre carros e motos das principais plataformas em um só lugar.
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For AI agents — MCPBundles Directory API
Recommended: Directory API v1 over HTTP for detail and anonymous invoke when eligible (not MCP JSON-RPC on the publisher URL; no user MCPBundles credentials on v1).
GET https://www.mcpbundles.com/api/directory/v1/servers/pegarex-mcp-610702d85a
GET https://www.mcpbundles.com/api/directory/v1/servers/pegarex-mcp-610702d85a?live=1 (optional live refresh)
GET https://www.mcpbundles.com/api/directory/v1/servers/pegarex-mcp-610702d85a/tools/<tool> (one tool: schema + invoke.url)
POST https://www.mcpbundles.com/api/directory/v1/servers/pegarex-mcp-610702d85a/tools/{tool}
POST body: flat JSON of tool argument names and values; not an arguments wrapper. Replace {tool} with a tool name from GET detail.
Restricted agent shell (ChatGPT Codex desktop, some IDE sandboxes):
Default command sandboxes often block outbound network. curl exit 6 or "Could not resolve host" for www.mcpbundles.com is usually sandbox DNS — not evidence this site is down.
Retry the same Directory API GET with sandbox_permissions "require_escalated" and a one-sentence justification on the shell tool (Codex on-request approval). Do not tell the user the site is unreachable from sandbox curl alone.
Example justification: Run the public MCPBundles Directory API search outside the command sandbox to complete the user's MCP server lookup.
If the agent has browser access (e.g. Codex @Browser): open https://www.mcpbundles.com/?q=<query> or stay on this page — no shell network needed. Use WebMCP search_mcp_servers then get_mcp_server (document.modelContext / page tools; refresh with fetchTools or getTools if a tool id is missing from the snapshot). Read-only directory search; same index as Directory API v1 GETs. Neither WebMCP nor Directory API v1 uses user MCPBundles credentials.
Without a browser: after escalated curl fails, use GET https://www.mcpbundles.com/?q=<query> with Accept: text/markdown for ranked results.
Hub MCP (connected session): discover_mcp_servers — same filter semantics as search_mcp_servers.
Contract: https://www.mcpbundles.com/agents.md
OpenAPI: https://www.mcpbundles.com/api/directory/v1/openapi.json
Guide: https://www.mcpbundles.com/guides/mcpbundles-directory-api
For MCP client apps (human connect):
MCP connect URL: https://pegarex.com.br/api/mcp
Skill page: https://www.mcpbundles.com/skills/pegarex-mcp-610702d85a
Explore capabilities (17)
read 17
Get
12
List
4
Other capabilities
1
Search Vehicles
read
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").
- For exact brand/model/version filtering, resolve names to ids first with
list_brands / li
Description may be truncated on the public preview.
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").
- For exact brand/model/version filtering, resolve names to ids first with
list_brands / li
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.
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.
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.
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.
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.
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.
Get Listing Details — Fatos do próprio anúncio (cor, portas, opcionais, vendedor, fonte, km,
link). Use para perguntas diretas sobre este carro específico.
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
PegaRex — Buscador Inteligente de Veículos. Encontre carros e motos das principais plataformas em um só lugar.
How do I connect PegaRex to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
How many tools does PegaRex provide?
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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'.
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.
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.)
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 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.)
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.)
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.)
Get Fipe Valuation — Valor oficial da tabela FIPE deste carro e tendência recente. Use para
perguntas sobre a FIPE.
Get Mileage Context — Avalia se a quilometragem deste carro é alta ou baixa para o modelo/ano
(mediana do mercado + km/ano).
MCPBundles probed 17 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does PegaRex require?
No provider sign-in was required during MCPBundles' probe. Your client may still need MCPBundles credentials depending on how you connect.
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