MCP MeasureMCP Measure

index observed

Tabela FIPE

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

Should I use this

Quality & Safety

B
Description quality
85%
Schema completeness
62%
Naming quality
82%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (4)

  • LOWTool 'fipe_preco' description lacks action verbin fipe_preco
  • LOWTool 'fipe_historico' description lacks action verbin fipe_historico
  • LOWTool 'fipe_buscar' description lacks action verbin fipe_buscar
  • LOWTool 'connect' description lacks action verbin connect

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~2,415Tokens (tool definitions)
~799 BTypical response size
Moderate attention impact (1.89% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "fipe-mcp": {
      "url": "https://api.mcp.ai/p_fipe"
    }
  }
}

Remote endpoints

https://api.mcp.ai/p_fipestreamable-http

What it can do

Tool inventory

Tools (13)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢fipe_marcas(tipo_veiculo)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "tipo_veiculo": {
      "type": "number"
    }
  },
  "required": [
    "tipo_veiculo"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢fipe_modelos(tipo_veiculo, codigo_marca)

Lista os modelos de uma marca. Retorna [{ codigo_modelo, modelo }]. Use o codigo_marca obtido em fipe_marcas.

Input Schema

{
  "type": "object",
  "properties": {
    "tipo_veiculo": {
      "type": "number"
    },
    "codigo_marca": {
      "type": "string"
    }
  },
  "required": [
    "tipo_veiculo",
    "codigo_marca"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢fipe_anos(tipo_veiculo, codigo_marca, codigo_modelo)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "tipo_veiculo": {
      "type": "number"
    },
    "codigo_marca": {
      "type": "string"
    },
    "codigo_modelo": {
      "type": "string"
    }
  },
  "required": [
    "tipo_veiculo",
    "codigo_marca",
    "codigo_modelo"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢fipe_preco(codigo_fipe, tipo_veiculo, codigo_marca, codigo_modelo, ano_modelo, ...)

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 }.

Input Schema

{
  "type": "object",
  "properties": {
    "codigo_fipe": {
      "type": "string"
    },
    "tipo_veiculo": {
      "type": "number"
    },
    "codigo_marca": {
      "type": "string"
    },
    "codigo_modelo": {
      "type": "string"
    },
    "ano_modelo": {
      "type": "string"
    },
    "combustivel": {
      "type": "string"
    },
    "referencia": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "string"
        }
      ]
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢fipe_historico(codigo_fipe, ano_modelo, combustivel)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "codigo_fipe": {
      "type": "string"
    },
    "ano_modelo": {
      "type": "string"
    },
    "combustivel": {
      "type": "string"
    }
  },
  "required": [
    "codigo_fipe",
    "ano_modelo"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢fipe_buscar(q, tipo_veiculo)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string"
    },
    "tipo_veiculo": {
      "type": "number"
    }
  },
  "required": [
    "q"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢show_version

Show the current MCP platform and adapter versions.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡report_bug(message, context, conversation)

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

Input Schema

{
  "type": "object",
  "properties": {
    "message": {
      "type": "string"
    },
    "context": {
      "default": "",
      "type": "string"
    },
    "conversation": {
      "default": "[]",
      "type": "string"
    }
  },
  "required": [
    "message"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢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.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢toolkit_info

Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡marketplace(action, query, mcp_id, limit, tier_slug, ...)

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. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.

Input Schema

{
  "type": "object",
  "properties": {
    "action": {
      "default": "search",
      "type": "string",
      "enum": [
        "search",
        "describe",
        "install",
        "uninstall",
        "subscribe",
        "cancel",
        "resume",
        "report_bug",
        "request_mcp",
        "list_tools",
        "invoke",
        "search_prompts",
        "get_prompt",
        "publish_prompt"
      ]
    },
    "query": {
      "default": "",
      "type": "string"
    },
    "mcp_id": {
      "default": "",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "type": "number"
    },
    "tier_slug": {
      "default": "",
      "type": "string"
    },
    "immediate": {
      "default": false,
      "type": "boolean"
    },
    "cancel_reason": {
      "type": "string",
      "enum": [
        "too_expensive",
        "missing_features",
        "switched_service",
        "unused",
        "customer_service",
        "too_complex",
        "low_quality",
        "other"
      ]
    },
    "cancel_comment": {
      "default": "",
      "type": "string"
    },
    "message": {
      "default": "",
      "type": "string"
    },
    "report_context": {
      "default": "",
      "type": "string"
    },
    "conversation": {
      "default": "[]",
      "type": "string"
    },
    "request_name": {
      "default": "",
      "type": "string"
    },
    "request_details": {
      "default": "",
      "type": "string"
    },
    "tool_id": {
      "default": "",
      "type": "string"
    },
    "arguments": {
      "default": "{}",
      "type": "string"
    },
    "prompt_slug": {
      "default": "",
      "type": "string"
    },
    "prompt_vars": {
      "default": "{}",
      "type": "string"
    },
    "prompt_category": {
      "default": "",
      "type": "string"
    },
    "prompt_tool": {
      "default": "",
      "type": "string"
    },
    "prompt_title": {
      "default": "",
      "type": "string"
    },
    "prompt_description": {
      "default": "",
      "type": "string"
    },
    "prompt_body": {
      "default": "",
      "type": "string"
    },
    "prompt_targets": {
      "default": [],
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "claude",
          "chatgpt",
          "cursor",
          "lovable"
        ]
      }
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡authenticate(token)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "token": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

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Evidence

Recent observations

verifiedversion not recorded13 tools
verifiedversion not recorded13 tools