#MySQL MCP server
23 related articles
·8 min
LangChain Crash Course: A Complete Roadmap from Zero to Agent Development
A systematic roadmap from LangChain and LangGraph to multi-agent development, covering RAG, Tool Calling, MCP, and more, helping developers break into AI app development.
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·3 min
AI Development for Java Engineers: A Complete Guide to LangChain4j Agents
Java developers can build AI apps too! Learn LangChain4j fundamentals including RAG, Agents, Function Calling, and hands-on projects — no Python required.
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·4 min
Using MCP Protocol to Give AI Agents Full Visibility into SQL Server
Learn how to connect AI agents to SQL Server via MCP protocol — wrapping DMV queries, managing multi-instance fleets, and enabling natural language ops with layered safety guardrails. Includes Docker deployment.
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·2 min
Dify 1.8.0 Hands-On Tutorial: Deploy and Build Your AI Application Platform from Scratch
A hands-on guide to deploying Dify 1.8.0, covering setup steps, Workflow vs. Chatflow differences, RAG knowledge base, and MCP support for AI app development.
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·3 min
LangChain4j Getting Started Guide: A Java Engineer's Fast Track to AI Application Development
LangChain4j is the AI application development framework built for Java engineers. Integrate DeepSeek, Qwen, and more into Spring Boot — no Python required.
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·2 min
Complete Spring AI Tutorial: ChatModel, RAG, and MCP Practical Guide
A complete Spring AI guide for Java developers covering ChatModel, EmbeddingModel, ChatMemory, Tool Calling, MCP protocol, and RAG with Milvus. Build LLM apps in Spring Boot.
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·5 min
From Prompts to Harness Engineering: The Evolution of AI Agent Development Paradigms
Why has AI engineering methodology evolved from prompts to context engineering and now Harness engineering? This article examines three paradigms, key bottlenecks, and the Agent = Model + Harness formula.
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·7 min
Spring AI 2.0 in Practice: A Beginner's Guide for Java Developers Building AI Agents
A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.
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·4 min
7-Step Framework for Deploying Commercial AI Agents: From Requirements to Production
A detailed 7-step guide to building commercial AI Agents, covering requirements, platform selection (Coze/Dify/FastGPT), prompt engineering, databases, UI, testing, and deployment.
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·3 min
Deep Dive into Claude Code: A Five-Dimension Comparison with Traditional AI Chat Tools
Deep analysis of Claude Code vs traditional AI chat tools across 5 dimensions: interaction, context, execution, memory, and tool integration, plus a Cursor comparison.
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·4 min
Deep Dive into Six AI Development Tools: Loop Recipe Library, Vercel Agent Framework, and More
Deep analysis of Loop workflow recipes, Vercel's open-source Agent framework, Pyker AI-native project management, Arrow P2P tool, DBX database client, and NVIDIA's Skill Spectre security tool.
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·3 min
Claude Code vs Traditional AI Chat: An In-Depth Comparison Across Five Key Dimensions
Compare Claude Code and traditional AI chat tools like ChatGPT across five dimensions: interaction, context, execution, memory, and tool integration.
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·3 min
Claude Code Installation & Setup Guide: Build Your AI Coding Assistant from Scratch
Step-by-step guide to installing and configuring Claude Code, covering Git/Node.js prerequisites, environment variables, and connecting domestic LLMs to build an AI assistant that reads, writes, and executes code.
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Tutorials·3 min
InsForge in Practice: A Lightweight Open-Source Backend Platform That Unleashes AI Programming
A hands-on guide to InsForge, the open-source backend platform. See how Claude Code builds a complete web app with zero backend knowledge, comparing advantages over Supabase.
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Tutorials·3 min
MCP vs CLI: 40x Token Cost Difference — How AI Engineers Should Choose
In-depth comparison of MCP vs CLI architecture, Token costs (CLI ~1400 vs MCP ~54600), security mechanisms, and use cases with practical selection guidance for AI engineers.
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Tutorials·3 min
Auto-Generating CRUD Code with Claude Code: A Practical Guide to Writing Skill Files
Learn how to auto-generate high-quality CRUD code using Claude Code with MCP and Skill files. Covers MySQL MCP setup, Skill file writing, TDD patterns, and pagination optimization.
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Tutorials·2 min
Claude Code Practical Guide: 26 Pro Tips to Master This AI Coding Agent
In-depth guide to Anthropic's Claude Code: 26 practical tips covering CLAUDE.md, Hooks, MCP, Skills, and Subagents for mastering this autonomous AI coding Agent.
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Tutorials·2 min
Java Developers Transitioning to AI/LLM: Essential Skills and Practical Guide for 2025
How can Java developers transition to AI/LLM? This guide covers 10 core skills including Spring AI, LangChain4j, RAG, and DeepSeek API integration with practical tips.
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Tutorials·4 min
Claude Code Hands-On Tutorial: Installation, DeepSeek Integration & Programming Tips - Complete Guide
Complete guide to Claude Code installation, DeepSeek V4 Pro integration, IDE setup, with a real full-stack project demo, Skill system, MCP configuration, and 10 AI programming tips.
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Product Reviews·3 min
Aix-DB Open-Source Framework: A Multi-Agent Approach to Natural Language Database Querying
Deep dive into Aix-DB: an open-source multi-agent framework using LangChain/LangGraph and MCP protocol for natural language to SQL, data analysis, and visualization.
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