MCP CRUD Interview Question
M

MCP CRUD Interview Question

An MCP server based on Spring Boot and Spring AI for managing the database of interview questions, providing create, read, update and delete functions, and supporting filtering questions by category.
2 points
6.1K

What is Interview Questions MCP Server?

This is an intelligent service system specifically designed for managing technical interview questions. It allows users to store, retrieve and manage various types of technical interview questions and answers through simple tool commands, and supports filtering by technical category and difficulty level.

How to use this service?

You can directly interact with this service through the AI assistant tool without a complex interface. The system provides five core operations: querying all questions, querying by category, adding/updating questions, deleting a single question or clearing the question bank.

Applicable scenarios

It is especially suitable for scenarios such as technical interviewers organizing question banks, job seekers practicing interview questions, and educational institutions building course question banks. It can be integrated into online learning platforms or interview preparation tools.

Main features

Intelligent question bank management
Supports managing technical interview question banks through natural language commands, including the full set of operations of adding, deleting, modifying and querying.
Multi-dimensional retrieval
Can quickly filter questions by technical category (such as Java/SQL/Spring), and supports getting all questions.
Structured data storage
Each question contains structured fields such as difficulty level, technical category, question title, detailed content and reference answer.
AI tool integration
Optimized for Spring AI, providing standardized tool interfaces for AI models to call.
Advantages
No graphical interface is required, and operations can be performed through natural language.
Supports an infinitely expandable technical category system.
The database is automatically maintained without manually executing SQL.
Seamlessly integrated with the Spring AI ecosystem.
Limitations
Currently only supports text-based questions and answers.
Requires a basic MySQL database environment.
Does not provide a direct Web user interface.
There are limitations on the length of questions (1000 characters for questions and 10000 characters for answers).

How to use

Environment preparation
Ensure that Java 24 and MySQL database are installed, and create a database named mcp_interview_questions_db.
Service configuration
Modify the application.properties file or set environment variables to configure the database connection.
Start the service
Build the project through Maven and then run the jar package.
Interact through the AI tool
Use tool commands to manage interview questions in the supported AI platform.

Usage examples

Build a Java interview question bank
A technical supervisor needs to collect and organize Java core knowledge point interview questions.
Prepare for an interview
A job seeker wants to practice interview questions for a specific technology stack.
Regularly update the question bank
Remove outdated questions and add questions related to new technologies.

Frequently Asked Questions

How to add a new technical category?
Is there a limit on the number of questions?
Can the question bank data be exported?
Does the service support multiple users accessing simultaneously?

Related resources

Spring Boot official documentation
Authoritative information for learning the Spring Boot framework.
MySQL installation guide
Tutorial on installing and configuring the MySQL database.
Spring AI project
Understand the Spring AI ecosystem.
Sample question set
A collection of common technical interview question examples.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
8.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.8K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.1K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.2K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.3K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.2K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.4K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase