1051 related articles

A developer used Anthropic's Opus 5 model to build a No Man's Sky-style space exploration game in one day using Blender MCP and sub-agents. Deep dive into the technical architecture and industry implications.

India's largest OTA platform MakeMyTrip uses WebMCP to standardize AI Agent interactions with web apps, replacing fragile DOM scraping with natural language-driven test automation and simplified complex booking scenarios.

A detailed guide to Google's WebMCP standard proposal, covering imperative and declarative tool building, smart home and car configuration demos, and Chrome DevTools debugging for AI agent tools.

India's largest OTA platform MakeMyTrip uses WebMCP to standardize AI Agent interaction with web apps, solving DOM scraping fragility, enabling natural language test automation, and simplifying complex international flight bookings.

Step-by-step guide to installing MCP connector in WorkBuddy and syncing Skills across Cursor and other AI workstations via AI conversation.

Deep dive into Anthropic's Agent Skills mechanism, explaining how Progressive Disclosure solves MCP context bloat and tool calling accuracy issues in AI agents.

When your AI skill library grows to 50, repeated installs, difficult searches, and memory overload become core pain points. This article introduces an MCP-based unified management tool.

A systematic map of today's AI coding landscape: the evolution from ChatGPT to Claude Code, LLM capability tiers, tool camps like Cursor/Copilot, and the three key weapons of the Agent era — MCP, Skills, and CLI.

A hands-on walkthrough of using IDA Pro with MCP for AI-assisted reverse engineering of a music app's Sign signature algorithm, covering traffic capture, endpoint analysis, and .so binary analysis.

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.
TradingView MCP: Auto-Analyze Trading …
tradingview-mcp is an open-source MCP Server connecting Claude AI with TradingView desktop to read charts, identify patterns, and interpret indicators via natural language. 4,500+ stars.

WebMCP is a proposed web standard that lets pages proactively expose tool interfaces to AI agents via declarative and imperative APIs, eliminating browser automation guesswork. Now in Chrome 149 Origin Trial.

Connect your local Zotero library to AI via MCP protocol to eliminate hallucinated citations. Full guide covering UV, Zotero setup, and OpenCode with free DeepSeek.
FastMCP: The Go-To Framework for Pytho…
FastMCP is a Pythonic MCP framework by PrefectHQ that lets developers build MCP servers and clients with minimal code using decorators. 26,000+ GitHub stars.

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.

A comprehensive guide to AI-native application architecture: LLM inference, RAG retrieval (vector DB/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability — end-to-end.

Deep dive into AI-era automated testing: using Pytest + Playwright + MCP for stable automation, constraining code conventions with Skills, avoiding non-determinism and high token costs. Includes real debugging war stories.

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.

A deep dive into the WebMCP proposal: how AI agents read websites, how to expose structured tools via imperative and declarative APIs, and how to audit agentic readiness with Lighthouse.

Perplexity Pro users report that custom MCP connectors silently switch models to Claude Sonnet, ignoring frontend selections like Grok or GPT. Support denies it.