# Tabela FIPE MCP server

Reference vehicle prices in Brazil (FIPE table), cars, motorcycles and trucks. Browse by brand/model

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-mcp-dir-fipe-mcp
- Repository: https://github.com/mcp-dir/fipe-mcp

## Install
- Endpoint: https://api.mcp.ai/p_fipe
- Auth: Not captured

## Setup notes
- Remote endpoint: https://api.mcp.ai/p_fipe

## Tools
- fipe_tabelas_referencia - Lista os meses de referência da Tabela FIPE disponíveis no índice (~2001→hoje). Retorna [{ codigo, mes, is_current }]. Use o `codigo` como `referencia` em fipe_preco/fipe_historico para consultar um mês específico. Endpoint: https://api.mcp.ai/p_fipe
- fipe_marcas - Lista as marcas de um tipo de veículo (1=carro, 2=moto, 3=caminhão). Retorna [{ codigo_marca, marca }]. Primeiro passo do drill-down até o preço. Endpoint: https://api.mcp.ai/p_fipe
- fipe_modelos - Lista os modelos de uma marca. Retorna [{ codigo_modelo, modelo }]. Use o codigo_marca obtido em fipe_marcas. Endpoint: https://api.mcp.ai/p_fipe
- fipe_anos - Lista os anos-modelo (com combustível) disponíveis para um modelo. Retorna [{ ano_modelo, combustivel }] (ex.: '2020-1' = 2020 gasolina). Use a tupla resultante em fipe_preco. Endpoint: https://api.mcp.ai/p_fipe
- fipe_preco - Preço de referência FIPE de um veículo. Identifique de DUAS formas: por `codigo_fipe` (o código FIPE do veículo, ex.: '004278-1') OU pela tupla (tipo_veiculo, codigo_marca, codigo_modelo, ano_modelo, combustivel). `referencia` ausente = mês corrente. Retorna { valor, marca, modelo, ano_modelo, combustivel, codigo_fipe, mes_referencia, data_consulta }. Endpoint: https://api.mcp.ai/p_fipe
- fipe_historico - Série temporal de preços de um veículo ao longo dos meses de referência (a CURVA DE DEPRECIAÇÃO — o diferencial vs. consultar o site). Retorna [{ referencia, mes, valor }] do mais antigo ao mais recente. Endpoint: https://api.mcp.ai/p_fipe
- fipe_buscar - Busca fuzzy por nome de modelo na Tabela FIPE (ex.: 'gol 1.6', 'civic touring'). Retorna candidatos [{ tipo_veiculo, codigo_marca, marca, codigo_modelo, modelo, codigo_fipe? }] para então consultar fipe_anos/fipe_preco. Endpoint: https://api.mcp.ai/p_fipe
- show_version - Show the current MCP platform and adapter versions. Endpoint: https://api.mcp.ai/p_fipe
- report_bug - Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction. Endpoint: https://api.mcp.ai/p_fipe
- connect - Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs. Endpoint: https://api.mcp.ai/p_fipe
- toolkit_info - Returns the current toolkit state: installed MCPs, their connection status, and how many catalog tools each exposes. Endpoint: https://api.mcp.ai/p_fipe
- marketplace - The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. Endpoint: https://api.mcp.ai/p_fipe
- authenticate - MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link. Endpoint: https://api.mcp.ai/p_fipe

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.mcp-dir
- Version: 0.1.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 10, 2026
- Source: https://registry.modelcontextprotocol.io