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面试鸭 MCP Server

by gulihua10010

The 面试鸭 MCP Server provides a question search API compatible with the MCP protocol, allowing integration with various AI assistants. It leverages the MCP Java SDK for easy integration with platforms like Claude, Cursor, and 千帆AppBuilder.

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What is 面试鸭 MCP Server?

The 面试鸭 MCP Server is an API that allows you to search for interview questions from the 面试鸭 platform using the Model Context Protocol (MCP). It provides a standardized way for AI assistants to access and utilize 面试鸭's question database.

How to use 面试鸭 MCP Server?

The server can be used via Java SDK. First, clone the repository, build it using Maven, and then configure your AI assistant (e.g., Cherry Studio) to use the server by providing the path to the built JAR file and necessary arguments. Alternatively, you can use the Java SDK directly by including the necessary dependencies and configuring the MCP server details in your application.

Key features of 面试鸭 MCP Server

  • MCP Compatibility

  • Question Search API

  • Java SDK Integration

  • Integration with AI Assistants

  • Easy Configuration

Use cases of 面试鸭 MCP Server

  • Integrating 面试鸭 question search into AI-powered coding assistants

  • Building custom interview preparation tools

  • Enhancing AI chatbot capabilities with interview question data

  • Automating interview question retrieval for research purposes

FAQ from 面试鸭 MCP Server

What is MCP?

MCP stands for Model Context Protocol. It's a standard protocol for AI models to interact with external tools and services.

What is 面试鸭?

面试鸭 is a Chinese website that provides interview preparation resources, including a searchable database of interview questions.

What AI assistants are compatible with this server?

Any AI assistant that supports the MCP protocol, such as Claude, Cursor, and 千帆AppBuilder, can be integrated with this server.

What is the input for the question search tool?

The input is the interview question you want to search for.

What is the output of the question search tool?

The output is a link to the corresponding question on the 面试鸭 website.