#MCP
490 related articles
GitHub MCP in Practice: New Protocol, Elicitation, and Stateless Servers
A GitHub engineer shares firsthand MCP experience across server, client, and protocol spec: new spec rollout, MRTR enabling elicitation on stateless servers, and Skills over MCP and Server Cards.
AI-Assisted JS Reverse Engineering: From Manual Code Extraction to Automated Encrypted Parameter Analysis
Compare manual JS reverse engineering vs. Claude Code + MCP automation for cracking Pinduoduo's anti_content parameter — breakpoints, obfuscation, and PoC generation.
Cline + MCP: A Beginner's Guide to Building an AI Programming Automation Workflow
A hands-on guide to building a Cline + MCP AI automation workflow in VSCode, covering setup for search, Playwright browser automation, Baidu Maps, local filesystem, and MySQL database services.
ProGantt: Letting AI Agents Read and Write Gantt Charts via MCP
ProGantt lets AI Agents read and write Gantt charts via MCP protocol. Explore its core capabilities, the value of MCP, and the rise of AI-native project management tools.
Building Localized Ads with MiniMax H3 + ComfyUI: An AI Video Pipeline That Runs on an RTX 4060 Ti
A Lima-based creator shares an AI ad video pipeline running on an RTX 4060 Ti, combining MiniMax H3, Z-Image Turbo, int8 quantization, and Claude Code + MCP automation for cinematic local ads.
Paradigm Memory: A Local-First Memory System for AI Coding Assistants
paradigm-memory is a local MCP memory tool for Claude Code, Cursor, and Cline. It uses SQLite local storage, zero cloud, full audit trails, and a navigable cognitive map instead of bloated context files.
Antigravity + Jules: How Autonomous AI Orchestration Enables Hands-Free Development Workflows
The open-source project antigravity-jules-orchestration combines Google Antigravity and Jules API via MCP integration to build an autonomous, hands-free AI development workflow. A deep dive into its architecture and value.
google-jules-mcp: An MCP Server Bridging Google Jules Coding Agent
google-jules-mcp is an open-source MCP server that wraps Google Jules AI coding agent's API into a standard Model Context Protocol interface for plug-and-play use.
google-jules-mcp: A MCP Bridge Connecting Claude to Google Jules
google-jules-mcp is a dedicated MCP server that bridges AI clients like Claude and Cursor with Google Jules Agentic API, supporting code generation, plan approval, and session management.
Treating AI Agents as First-Class Citizens: Lessons from Building an Agent-First Social Platform
A solo dev's lessons building Vynly, an Agent-first social platform: demo tokens, minimal MCP tools, honest AI provenance, and why not to rebuild an image generator.
TutorialsBuilding a Financial Analysis Agent with Cursor + MCP: From Architecture Design to Production Deployment
A complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
TutorialsUnderstanding Function Calling and MCP Through Cursor's System Prompt
Deep dive into Function Calling and MCP working principles through Cursor editor's system prompt analysis, comparing regular tools vs MCP tools and testing Agent capabilities across model sizes.
TutorialsMCP Transport Protocols Explained: SSE vs. Streamable HTTP vs. STDIO
Explore MCP's three transport protocols — SSE, Streamable HTTP, and STDIO — their differences, use cases, and configuration tips for developers.
TutorialsPractical Guide to Configuring MCP Servers and Extensions in Gemini CLI
Learn how MCP servers work in Gemini CLI and how to configure them. Step-by-step guide using Context7 and Firebase extensions to expand AI coding capabilities.
TutorialsCursor + 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.
TutorialsMCP 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.
TutorialsMCP 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.
Deep DivesMCP (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.
TutorialsSupabase Real-World Testing: How MCP+Skills Enable AI Agents to Safely Operate Databases
Supabase's experiments show how MCP+Skills solve security gaps when AI agents operate databases, with three key principles for writing effective Agent Skills.
TutorialsGetting Started with Claude Code MCP: Connecting External Tools and Context Management Practices
A detailed guide to MCP (Model Context Protocol) in Claude Code, covering server setup, three scope configurations, context window optimization, CLI alternatives, and Skills best practices.