#Model Context Protocol
270 related articles
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
Cursor + MCP + AScript Automation in Practice: How AI Programming Lowers the Development Barrier
In-depth analysis of how Cursor + MCP + AScript enables platform automation—covering architecture, workflow, and risk considerations for AI-powered development.
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Tutorials
Firebase AI Logic in Practice: Buildin…
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Firebase AI Logic in Practice: Building Intelligent Task Decomposition from Scratch with AI Agents
Learn how to add intelligent task decomposition to a cross-platform to-do app using Firebase AI Logic and Gemini, covering structured output, App Check security, and server-side Prompt templates.
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Tutorials·3 min
Complete Guide to Building AI Agent Projects with WindSurf: Practical Tips & Techniques
Complete practical guide to building AI Agent Frameworks with WindSurf, covering technology selection, component generation, code refactoring, debugging, and deployment tips.
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Product Reviews·3 min
Zed Editor Lands on Windows: An In-Depth Look at This Free AI Code Editor
Zed editor officially arrives on Windows. Built with Rust, it features Cloud Code, Gemini CLI, and Codex AI Agents, offering a free intelligent coding environment with native debugging.
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Product Reviews·3 min
Zed Editor Officially Lands on Windows: A Free, Open-Source AI IDE Alternative
Zed Editor's Windows version is officially released. This free, open-source AI IDE built in Rust features extreme performance, built-in Cloud Code, Gemini CLI, and Codex agents, native debugging, and real-time collaboration.
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Product Reviews·3 min
Zed Editor Officially Lands on Windows: A Free, Open-Source AI IDE Alternative
Zed Editor's Windows version is officially released. This free, open-source AI IDE built with Rust features extreme performance, built-in Cloud Code, Gemini CLI, and Codex agents, a native debugger, and real-time collaboration.
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Product Reviews·2 min
Devin Cloud Deep Dive: A Cloud-Based AI Development Platform That Replaces All IDEs with a Single Web Page
Deep dive into Devin Cloud, a cloud-based AI development platform featuring device-agnostic development, cloud VM desktops, GitHub integration, MCP tools, and how it fundamentally changes traditional IDE workflows.
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Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Learn how to build an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs to automate crawler encryption cracking, with real-world cases and cost analysis.
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Tutorials·4 min
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Guide to building an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs for semi-automated crawler encryption cracking with real-world case studies.
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Tutorials·4 min
MCP Beginner's Guide: Model Context Protocol Architecture and Three Core Primitives Explained
A deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture, the three core primitives (Tools, Resources, Prompts), and how developers can quickly integrate with the MCP ecosystem.
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Tutorials·4 min
MCP Beginner's Guide: Model Context Protocol Architecture and Three Core Primitives Explained
A deep dive into Anthropic's MCP (Model Context Protocol) covering client-server architecture and the three core primitives — Tools, Resources, and Prompts — to help developers quickly understand and integrate with the MCP ecosystem.
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Tutorials·2 min
MCP Service Hybrid Deployment in Practice: Integrating Tools, Resources, and Prompts into a Single Service
Learn how to integrate Tools, Prompts, and Resources into a single MCP service. A practical guide to hybrid deployment that breaks the single-responsibility misconception for production environments.
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Tutorials·3 min
MCP Protocol Explained: Differences from Function Calling and Agent Tool Development in Practice
Deep dive into MCP (Model Context Protocol): its principles, communication architecture, and practical applications. Compare MCP vs Function Calling, explore client-server communication and security.
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Tutorials·2 min
Anthropic's Official MCP Tutorial: From Protocol Principles to Production Deployment
Deep dive into Anthropic's open-source MCP protocol, covering client-server architecture, tool calling mechanisms, MCP server development, and remote deployment for standardized AI integration.
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Deep Dives·3 min
MCP (Model Context Protocol): Solving the Three Core Pain Points of AI Tool Calling
Deep dive into how MCP (Model Context Protocol) solves three core pain points of Tool Calling: verbose descriptions, unstable invocations, and lack of unified standards.
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Deep Dives·3 min
MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling
Deep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
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Product Reviews·3 min
OpenSlide: An Open-Source Framework That Lets AI Agents Write React Code to Create Presentations
OpenSlide is an Agent-native open-source slide framework that lets AI Agents write React code to generate professional presentations. Supports Claude Code, Cursor, and other coding Agents.
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Tech Frontiers·3 min
Rent a Human Platform: AI Hiring Humans to Do Work — The Truth Behind 700,000 Sign-ups
Rent a Human lets AI Agents hire humans for physical tasks, with 700K+ sign-ups. Deep analysis of how AI hiring humans works, its gig economy ties, and implications for human-machine collaboration.
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