DETRAN MG: Registrar Intenção de Venda de Veículo

DETRAN MG: Registrar Intenção de Venda de Vehicle, official-source lookup. Platform-hosted, pay per

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品質與安全性

B
說明品質
96%
結構描述完整度
56%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(2)

  • LOWTool 'connect' description lacks action verb在 connect 中
  • LOWTool 'detran_mg_reg_intencao_venda_consultar' name length outside 3-30 range在 detran_mg_reg_intencao_venda_consultar 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,752Token(工具定義)
~1.4 KB典型回應大小
中等的注意力影響(128k 上下文的 1.37%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "detran_mg_reg_intencao_venda-mcp": {
      "url": "https://api.mcp.ai/p_detran_mg_reg_intencao_venda"
    }
  }
}

遠端端點

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

它能做什麼

工具清單

工具(7)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢detran_mg_reg_intencao_venda_consultar(cpf_vendedor, cnpj_vendedor, email_vendedor, placa, chassi, ...)

DETRAN MG: Registrar Intenção de Venda de Veículo, consulta em fonte oficial. Hospedado pela plataforma, sem credenciais da plataforma, pague por consulta com crédito pré-pago. Consulta informação de fontes e órgãos oficiais brasileiros (a mesma disponível ao cidadão), não é dado sigiloso. O cliente é o controlador dos dados e responde pela finalidade legítima (LGPD).

輸入結構描述

{
  "type": "object",
  "properties": {
    "cpf_vendedor": {
      "type": "string"
    },
    "cnpj_vendedor": {
      "type": "string"
    },
    "email_vendedor": {
      "type": "string"
    },
    "placa": {
      "type": "string"
    },
    "chassi": {
      "type": "string"
    },
    "renavam": {
      "type": "string"
    },
    "crv": {
      "type": "string"
    },
    "hodometro": {
      "type": "string"
    },
    "datahora_hodometro": {
      "type": "string"
    },
    "valor_venda": {
      "type": "string"
    },
    "cpf_comprador": {
      "type": "string"
    },
    "cnpj_comprador": {
      "type": "string"
    },
    "nome_comprador": {
      "type": "string"
    },
    "email_comprador": {
      "type": "string"
    },
    "rg_comprador": {
      "type": "string"
    },
    "cep_comprador": {
      "type": "string"
    },
    "logradouro_endereco_comprador": {
      "type": "string"
    },
    "numero_endereco_comprador": {
      "type": "string"
    },
    "complemento_endereco_comprador": {
      "type": "string"
    },
    "bairro_endereco_comprador": {
      "type": "string"
    },
    "municipio_endereco_comprador": {
      "type": "string"
    },
    "uf_endereco_comprador": {
      "type": "string"
    }
  },
  "required": [
    "email_vendedor",
    "placa",
    "chassi",
    "renavam",
    "crv",
    "valor_venda",
    "nome_comprador",
    "email_comprador",
    "cep_comprador",
    "logradouro_endereco_comprador",
    "numero_endereco_comprador",
    "bairro_endereco_comprador",
    "municipio_endereco_comprador",
    "uf_endereco_comprador"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢show_version

Show the current MCP platform and adapter versions.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

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

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