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Over 50 Claude Code Plugins Making AI Dumber? A Curated List of Practical Tools
Claude Code plugins aren't a case of more is better—over 50 tools make AI pick the wrong ones and perform worse. Here's a curated list of practical plugins and MCP tools including Pyright LSP, GitHub, Context7, Composio, and Figma, plus the difference between plugins and MCP servers and installation tips.
Vercel Shop Officially Launches: AI Agents Become First-Class Citizens in E-Commerce
Vercel Shop officially launches, built on Next.js and the Shopify Hydrogen SDK, enabling AI agents to read product pages and perform product search and cart operations via MCP, making agents first-class e-commerce citizens.
Figma Co-Founder: MCP Is Not a Perfect Protocol, But Figma Will Embrace Multiple Standards
Figma co-founder Dylan Field says MCP is not perfect, but Figma plans to support as many standards as possible while not exposing all data. This article analyzes the implications for AI integration in design tools.
Building a Python MCP Server from Scratch: Create Your AI Agent Plugin
Learn how to build a Python MCP Server from scratch to create a personal health tracking AI agent plugin. This article covers MCP protocol principles, the division of responsibilities between AI agents and MCP, SQLite data storage, and Docker cloud deployment, helping developers build low-cost AI tools that manage data over the long term.
Autonomous AI Agents and the MCP Server Trust Problem: Inside Cisco's Open-Source Agent Identity Framework
Cisco OutShift and Duo Security explain the trust problem between autonomous AI agents and MCP servers: why RBAC/ABAC/REBAC fail, and how the open-source Agency framework rebuilds agent security with cryptographic identity and TBAC task-level authorization, including a full demo walkthrough.
REA Open-Source Project: AI Agents Redefine the Boundaries of Closed-Source Software
REA (Reverse Engineer Anything) is an open-source project built on MCP servers and a modular CLI that lets AI agents dismantle closed-source binaries and rebuild app functionality.
MCP Protocol Deep Dive: A Standardized Connection Solution for AI Agents
A deep dive into the Model Context Protocol (MCP): its Host/Client/Server architecture, JSON-RPC messaging, STDIO and Streamable HTTP transports, Tools/Resources/Prompts primitives, and security best practices—helping AI developers systematically understand this standardized agent connection protocol.
AAS Core: A Local Agent Control Plane for a 2,600+ Skill Library
AAS Core is a local agent control plane for the sickn33/agentic-awesome-skills project, offering discovery of a 2,600+ skill catalog, agent-owned selection, stack validation, and planning, with CLI, MCP, plugins, and Workbench.
Give Your AI Agent a Shelf: MCP + x402 Lets Agents Shop Autonomously
A real experiment: give an AI Agent a secondhand shelf, expose search, lookup, and purchase-intent tools via MCP, and return payment challenges with x402—but eBay still closes the deal. Exploring agent-readable e-commerce.
Too Many MCP Tools? Trim Your AI Agent's Toolset with One Line of Python
AI agents loading too many MCP tools waste context and create security risks. Learn how one line of Python can trim 16 tools down to 2 with on-demand filtering.
Giving AI X-Ray Vision: REA + MCP Lets Code Reverse Engineering Stop Guessing
Developer Zubair Trabzada connects the open-source tool REA to his AI assistant Jarvis via MCP, enabling it to reverse engineer any website or app. In tests, it dissected igloo.inc's Three.js + GSAP stack in 40 seconds and cloned macOS Apple Notes in 15 minutes—marking AI's evolution from text generator to autonomous agent with structural vision.
AI Agent Security Weekly: Credential Theft and MCP Injection Take Center Stage
This week saw a dense wave of AI agent security incidents: India's CERT-In warned that testing agents overstepped and read confidential enterprise data, the Langflow MCP injection vulnerability was exploited 1,423 times, and the Aoki infostealer began targeting credentials from Claude, Codex, and other coding tools. On the regulatory front, the EU AI Office and the FTC simultaneously pressured OpenAI and Anthropic.
MCP Social Scheduler Comparison: Buffer Is Free, Postiz Is Open Source
A comparison of MCP support across Buffer, Postiz, PostSyncer, Hootsuite, Sprout Social, and other social schedulers, analyzing onboarding cost, AI publishing permissions, media storage, and platform coverage, with selection advice by need.
7 Claude Prompts for Managing a Week of Social Media Publishing via MCP
Smart Post Studio shares 7 Claude prompts that connect to social scheduling tools via MCP, covering the full week's workflow: queue checks, multi-platform drafts, revisions, scheduling, and publish verification—plus permission setup and pitfalls.
AI Agent Verification Tool Invites Beta Testers: Orinyx Open-Source MCP Opens 5 Spots
Developer recruits 5 beta testers to try Orinyx, an independent AI Agent verification tool initially focused on healthcare, plus an open-source MCP for testing Agents with synthetic data. Internal testing already found a failure mode where the system can't judge output correctness yet gives reassuring wording.
The Token Cost of MCP Server Tool Lists: A 34,374-Listing Empirical Study
Measured across 34,374 MCP servers: tool-list tokens have a median of ~1,300, with the heaviest at 540K. Cost conversions, long-tail distribution, and savings strategies like prompt caching.
Quello: Unifying All AI Work Context with MCP
Quello is a productivity tool based on the MCP protocol that brings your work context into AI assistants like Claude, ChatGPT, and Gemini, providing cited sources and voice interaction to solve fragmented AI conversation context.
Audit Agent Skills Before Adoption with n8n and Agentel MCP
Learn how to audit Agent Skills before adoption using n8n's native MCP Client and Agentel MCP: check registered versions, declared permissions, licenses, evidence levels, and understand INFO quota and METERING_UNKNOWN caveats.
Managing WhatsApp Automation with Gemini CLI: A Hands-On Pidiga MCP Tutorial
Pidiga MCP + Gemini CLI tutorial: create WhatsApp automations with natural language—template selection, booking flows, invisible test runs, pre-launch checks, and human-confirmed sending, with full screenshots.
MCP Server Post-Mortem: 8 Lessons from Redesigning My Internal Tools
An MCP server post-mortem: from generic run_sql to narrow tools, user identity propagation, docstrings as interfaces, structured errors, resource data leakage protection, server-side auditing, and server versioning—8 hands-on lessons with Python code examples.