ngLover

AI MCP Server for n8n: Building Intelligent Workflow Agents N8n just got a major power-up. With the integration of Model Context Protocol (MCP) servers, you can now build AI-driven workflows that think, reason, and act intelligently. Let me show you what this means and how to use it. What is MCP (Model Context Protocol)? MCP is a new protocol developed by Anthropic that standardizes how AI models like Claude interact with external tools and data sources. Think of it this way: Before MCP: Claude had no standard way to interact with external tools Claude → Custom integration → Tool Claude → Another custom integration → Different tool Claude → Yet another custom integration → Yet another tool With MCP: Clean, standardized protocol Claude → MCP Server ← All tools standardized ↓ Claude uses tools naturally Why This Matters Standardization: Same interface for all tools Simplicity: Developers don't reinvent the wheel Power: Claude can actually use external...

Building Genesis: An AI Agent Meta-Factory For months, I've been exploring OpenClaw and intelligent agent systems. Today, I'm sharing how I built Genesis —a meta-agent that creates other agents with automatically-generated guardrails. The problem Genesis solves is simple: creating specialized agents is tedious, repetitive, and error-prone. Genesis automates that entire process. The Problem: Agent Creation Is Hard Traditionally, creating a new agent requires: Manual specification : What guardrails does this agent need? Risk assessment : What could go wrong? Permission management : Who approves this? Complexity : Different agents need different constraints Tracking : What agents exist? What can they do? Consistency : Are guardrails applied uniformly? This is slow, inconsistent, and doesn't scale. The Solution: Genesis Genesis is a meta-agent—an agent that creates agents. It works like this: User Request ↓ Genesis Analyzes ("What kind of agent do you n...