#MCP agent development
960 related articles
·4 min
AI Engineer Growth Roadmap: From Programming Fundamentals to RAG and MCP Agent Development
A systematic AI engineer learning roadmap covering programming, math, ML, and data engineering foundations, plus frontier AI technologies like LLM, RAG, Agents, and MCP with free open-source resources.
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·2 min
MCP for Beginners: The Essential Protocol for AI Agent Development
Learn what MCP (Model Context Protocol) is, why it's replacing Function Calling, and how it breaks AI data silos to enable remote tool invocation for agents.
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·3 min
LangChain + MCP + Agent: A Complete Guide to Enterprise-Grade AI Agent Development
A deep dive into LangChain, LangGraph, MCP, and enterprise AI Agent development: covering Streamable HTTP updates, DeepSeek R1 Function Calling limits, and Qwen3 agent capabilities.
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·3 min
Automating Chrome Extension Development with AI Coding Agents: Antigravity & DevTools MCP Complete Workflow
A complete workflow from Google I/O: use Antigravity, Modern Web Guidance, and Chrome DevTools MCP to build Chrome extensions automatically — from prompt to publish.
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·7 min
Unity Custom MCP Tool Development Guide: Enabling AI Agents to Precisely Control the Editor
Learn how to develop custom tools based on the Unity MCP Relay Server, enabling AI agents like Cursor to directly control the Unity editor. Covers setup, tool building, parameter validation, and MCP Pro comparison.
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·2 min
MCP Protocol Deep Dive: The Unified Standard and Practical Guide for Agent Development
Deep dive into MCP (Model Context Protocol): core principles, communication mechanisms, and security design. Learn how MCP replaces Function Calling and enables remote agent-tool integration.
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·2 min
LangChain + MCP Agent Development: A Practical Guide to LLM Selection and Common Pitfalls
A deep dive into LLM selection for LangChain and MCP agent development, comparing DeepSeek V3/R1 vs Qwen3 on Function Calling and MCP support with practical tips.
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·3 min
Agent Skills Architecture Explained: Modular AI Agent Development and How It Differs from MCP
Deep dive into Anthropic's Agent Skills architecture: modular skill loading, core concepts, enterprise value, and how it fundamentally differs from MCP.
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·2 min
Unreal Engine 5.8 MCP Server Setup Tutorial: AI Agent-Driven Game Development in Practice
A detailed guide to configuring Unreal Engine 5.8's built-in MCP server for AI agent-driven game development, covering DeepSeek API setup, plugin activation, and natural language scene building.
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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·3 min
DeepSeek Multi-Agent Matrix + UE5.8 Official MCP: A Collaborative Development Workflow in Practice
A complete workflow for collaborative UE5 development using DeepSeek multi-Agent matrix and UE5.8 official MCP, covering pure C++ architecture, agent roles, cache optimization, and automated code review.
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Tutorials·2 min
LangGraph 0.5.3 + MCP Agent Development in Practice: Security Authentication & Deployment Guide
LangGraph 0.5.3 introduces MCP server security authentication and agent deployment solutions. Combined with Qwen3 models, it provides a complete production-grade AI agent development stack.
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Tutorials·2 min
Why Qwen3 Is the Best Open-Source Model for MCP Agent Development
Analysis of Qwen3's advantages for MCP agent development, comparing DeepSeek R1's lack of Function Calling, covering MoE architecture and thinking mode switching.
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·3 min
GitHub Daily · August 8: Self-Evolving Agents Explode on the Charts, Swarm Intelligence and Dev Tools Take Flight Together
GitHub Trending Aug 8: Self-evolving agent prime-agent surges 2293 stars, swarm intelligence and distributed Agent infrastructure dominate the charts.
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·6 min
Stimma: An Open-Source Creative Workbench Built on Top of ComfyUI, Solving Media Management and Multi-GPU Scheduling
A veteran user spent a year building Stimma, an open-source desktop app on top of ComfyUI that solves media asset management, multi-GPU load balancing, and agent-driven creation with local-first design.
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·3 min
Five Giants Including OpenAI Join Forces: AI Agent Interoperability Standards Officially Unified
OpenAI and four competitors agree on unified AI agent standards, addressing interoperability challenges in tool calling and task orchestration. Analysis of implications for developers and enterprises.
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·3 min
Wallfacer: A Terminal Session Manager Designed for Claude Code
Wallfacer is a terminal session manager designed for AI coding tools like Claude Code, solving multi-session parallel management challenges for developers.
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·2 min
Compass: A Local-First Code Graph Tool Built with Rust
Deep dive into Compass, an open-source local-first code graph tool built in Rust, providing structured code understanding for human developers and AI agents.
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·3 min
Glasp MCP Connector: Let AI Directly Access Your Knowledge Base
Glasp MCP Connector links your personal highlights to Claude and ChatGPT via MCP protocol for natural language knowledge retrieval. Learn about its features, privacy design, and the MCP ecosystem trend.
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·2 min
ZapDigits MCP: A Hands-On Review of AI Direct Access to 30+ Marketing Data Sources
In-depth analysis of how ZapDigits MCP connects Claude and ChatGPT to 30+ marketing data sources like Google Analytics and Meta Ads via Model Context Protocol, solving data silo challenges.
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