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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.
MCP and CLI in Tandem: Best Practices for AI Data Analysis Workflows
Explore how MCP and CLI divide responsibilities in AI data analysis: use MCP to inspect schemas and validate SQL in conversation, then use CLI to solidify queries into repeatable scripts, with cross-entry task handoff and result retrieval.
The Battle for AI Agent Control: Who Owns Identity, Rules, and Budget?
Google, Workday, and OpenAI drew AI Agent boundaries within a week. We analyze the fight over Agent identity, permissions, and budget, with MCP, CERT-In advisories, and the European supermarket attack, plus an enterprise checklist and lab test methods.
What's Your MCP Server Stack? A 2026 Practitioner Discussion
A 2026 practitioner discussion on MCP server stacks: stdio vs HTTP transport, agent tool visibility control, tool call budgets and rate-limiting patterns, and which MCP servers are truly useful rather than demos.
Zero-Cost Guide to Deploying MCP Servers on Cloudflare Workers
Step-by-step guide to deploying a Remote MCP server on Cloudflare Workers at zero cost: Streamable HTTP transport, Durable Objects session management, Zod validation, Bearer auth, MCP Inspector debugging, plus free-tier and KV quota pitfalls.
Custom MCP Servers: Giving LLMs Secure Access to Private Data and Tools
A deep dive into Anthropic's Model Context Protocol (MCP): client-server architecture, the three primitives, building custom MCP servers in TypeScript, local vs. remote deployment, and production security best practices.
jev-tools: Letting AI Coding Agents Verify Their Work with Repository Evidence
jev-tools is NomenAK's open-source toolkit for AI coding agents. Six tools like jev_ask and jev_check_diff let agents verify conclusions with repository evidence, with MCP and doc consistency checks.
After Ditching the Pricing Calculator, We Built a Memory Engine for AI Coding Assistants Using a Graph Database
How a failed pricing calculator became Banana: a FalkorDB graph database giving Claude Code and Cursor code-relationship memory, Edmonds-Karp max-flow token budgeting, and 17.4ms three-hop traversal.