MCP Agent Langchainjs
未认领Serverless AI agent using LangChain.js and Model Context Protocol (MCP) integration to order burgers from a burger restaurant
agentaiapiazdazd-templatesazuree2ejavascriptlangchain-jsmcpmicroservicesmodel-context-protocolopen-apiserverlesstypescript
01 / 选择客户端
03 / 添加配置
claude mcp add --transport stdio 'mcp-agent-langchainjs' -- 'npx' '-y' '@modelcontextprotocol/inspector'04 / 在客户端中确认
打开客户端的 MCP 设置，确认服务器已连接并列出工具。复制配置不代表连接成功。
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浏览完整目录安全概况
已认领和已认证的服务器每周接受一次静态扫描，显示代码能触及的范围（外部服务、环境变量、shell 命令、代理配置目录）以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理
9 个工具中显示 9 个
文档中列出的工具 (9)
内容来自项目文档。服务器握手不会验证每个工具的说明或行为。
delete_order_by_id
Cancel an order if it has not yet been started (status must be pending, requires userId)
get_burger_by_id
Get a specific burger by its ID
get_burgers
Get a list of all burgers in the menu
get_order_by_id
Get a specific order by its ID
get_orders
Get a list of all orders in the system
get_topping_by_id
Get a specific topping by its ID
get_topping_categories
Get a list of all topping categories
get_toppings
Get a list of all toppings in the menu
place_order
Place a new order with burgers (requires userId, optional nickname)