面试题库
共 328 题,当前筛选 2 题。
课程全部30 天从前端工程师到 Agent 工程师5 天提示词工程零基础Claude 高效使用:从对话到 Claude CodeCodex 与 OpenAI Agents SDK 高效使用7 天 MCP:把工具接进任何 Agent7 天 Agent Skills:把经验做成可复用能力5 天上下文工程14 天 RAG:从检索到可信回答14 天用 Agent 搭一条 AI 短剧生产线
7 天 MCP:把工具接进任何 Agent
D1 为什么需要一个协议:host / client / server 三角、JSON-RPC 消息与三种原语
MCP 和模型自带的函数调用到底差在哪?什么情况下你不该用 MCP?How is MCP actually different from a model's built-in function calling, and when should you not use MCP?
国内高频海外高频基础#mcp-basics#architecture分析过程 · 先想清楚再作答
- 这题在筛「有没有真正接过工具」。把 MCP 说成「函数调用的升级版」就露馅了,因为两者根本不在同一层,答对的人第一句就会先把层次拆开。
- 拆法:问自己「这一步是模型 API 的事,还是工具从哪来的事」。函数调用是模型 API 的能力——你把工具定义放进请求,模型回一个要调谁;MCP 管的是那份定义和执行体住在哪个进程里、用什么语言交换。
- 接着点出两者是叠加而非替代:MCP 客户端拿到 tools/list 之后,还要把它翻译成模型 API 的工具参数,最终仍然走函数调用那条路。
- 结论:MCP 解决的是 M 个应用乘 N 个工具的重复接线,把乘法变成加法;它换来的代价是多一层进程、一层序列化、一层要排查的地方。
- 不该用的三种情况:工具只有自己这一个程序用;调用极频繁且对延迟敏感(远程一次往返几十到几百毫秒,一轮连调五次用户就有感);这件事根本不需要模型决定,产品逻辑本来就是确定的。
- 可预期的追问:那本机 stdio 的开销很小,是不是就可以随便用?答案是开销不只在传输,还在多一个要部署、要监控、要授权的进程上。
How to reason about it · think before answering
- The screen is whether you have actually wired tools yourself. Calling MCP an upgraded function call fails, because the two sit at different layers.
- Separate the layers first: function calling is a model API feature — you pass tool definitions in the request and the model replies with which one to invoke. MCP governs where that definition and its executor live and how they are exchanged.
- They compose rather than compete: an MCP client still translates tools/list output into the model API's tool parameters, so the final hop is ordinary function calling.
- Conclusion: MCP turns an M-applications-by-N-tools wiring problem into M plus N, at the cost of an extra process, an extra serialization boundary, and an extra place to debug.
- Skip MCP when the tool has exactly one consumer, when calls are hot and latency-sensitive (a remote round trip is tens to hundreds of milliseconds, five per turn is noticeable), or when the decision does not need a model at all.
- Likely follow-up: local stdio is cheap, so why not use it everywhere? Because the cost is not only transport — it is one more process to deploy, monitor, and authorize.
答题要点
- 函数调用是模型 API 的能力,MCP 是工具定义与执行体的分发协议,两者叠加而不是替代
- MCP 的价值是把 M 乘 N 的适配器数量变成 M 加 N,代价是多一层进程与序列化
- 单一消费者、延迟敏感的热路径、以及本来就确定的产品流程,这三种情况不该用 MCP
- 判据是「这个能力要不要给第二个程序用」,只要答案是要,协议的成本就摊得开
Key points
- Function calling is a model API capability; MCP is a distribution protocol for tool definitions and executors — they stack, not compete
- MCP converts M-by-N adapters into M plus N, paying with an extra process and serialization hop
- Skip it for single-consumer tools, latency-sensitive hot paths, and flows that are deterministic by design
- The test is whether a second program will ever need this capability; if yes, the protocol cost amortizes
MCP 规范为什么规定一个客户端只连一个服务端?多路复用不是更省资源吗?Why does the MCP spec require one client per server instead of multiplexing many servers over one connection?
国内高频海外高频进阶#architecture#security分析过程 · 先想清楚再作答
- 这题看着在问性能,其实在问安全边界。只从连接数和资源占用切入的回答会被判为没读过设计原则那一节。
- 拆法:先问「共享一条通道之后,谁能看见谁」。规范写死了两条原则——服务端不应该读到整段对话,也不应该看得见别的服务端;一对一是实现这两条最直接的手段。
- 举一个具体后果:接一个第三方天气服务端时,一对一隔离让它只能看到你传的城市名;共享通道则可能让它读到你和内部数据库服务端之间的往来,那就是一次数据泄露。
- 结论:完整对话历史留在宿主,服务端只拿到这次真正需要的参数;宿主是唯一的安全边界执行者,也是唯一做跨服务端编排的地方。
- 代价要主动说:接 N 个服务端就有 N 条连接、N 套生命周期要管,客户端实现的复杂度大头正是在这里,而不是在发报文上。
- 可预期的追问:那多个服务端的工具重名怎么办?答案是聚合与消歧是宿主侧的职责,规范建议加服务端标识前缀,并且明确说不要依赖服务端自报的名字,因为它不保证唯一也未经验证。
How to reason about it · think before answering
- It reads like a performance question but is really about security boundaries. Answering only in terms of connection count signals you never read the design principles.
- Ask who can see whom once a channel is shared. The spec fixes two principles: servers should not read the whole conversation, and should not see into other servers. One-to-one is the most direct way to enforce both.
- Concrete consequence: with isolation, a third-party weather server sees only the city you passed. On a shared channel it could observe traffic between you and an internal database server — a data leak.
- Conclusion: full history stays with the host, each server receives only the arguments this call needs, and the host is the single place where boundaries are enforced and cross-server orchestration happens.
- State the cost yourself: N servers means N connections and N lifecycles, and that is where most client complexity lives, not in sending messages.
- Likely follow-up: how do you handle tool name collisions across servers? Aggregation and disambiguation belong to the host; the spec suggests prefixing with a server identifier and explicitly warns against relying on the server's self-reported name, which is neither unique nor verified.
答题要点
- 一对一是安全设计而非性能设计:服务端读不到整段对话,也看不见别的服务端
- 完整历史留在宿主,服务端只收到本次调用真正需要的参数
- 跨服务端的聚合、消歧、授权都由宿主统一做,边界只有一处需要加固
- 代价是连接与生命周期管理,这是客户端实现复杂度的主要来源
Key points
- One-to-one is a security decision, not a performance one: servers cannot read the conversation or see peers
- Full history stays in the host; a server receives only the arguments for the current call
- Aggregation, disambiguation, and authorization all happen in the host, so there is a single boundary to harden
- The cost is connection and lifecycle management, which dominates client implementation complexity