Hey everyone, I've been burning a lot of brainpower on my current Leo 2.0 (my PAI) and optimizing my context usage. TL;DR:Here's how to actually set up Docker's MCP Toolkit if you're trying to optimize your AI agent context usage. + The Current Problem + As you see on my screenshot below, before starting a conversation, I already have 11.7% of my context taken just for the MCP tools (23.3k tokens). Standard MCP servers dump 13,000-18,000 tokens of tool definitions into your context. When you stack multiple servers, agents get confused and you're burning context on infrastructure instead of actual work. Docker's approach: containerized MCP servers with a gateway that aggregates everything. + Setup Steps (this is a beta feature) + Prerequisites: - Docker Desktop (not just Docker CLI) - Enable "MCP Toolkit" in Settings → Features in Development (it's Beta) Enable servers via CLI: - docker mcp server enable github-official - docker mcp server enable filesystem + OAuth setup (for services that need it): + - docker mcp oauth authorize github + Connect via CLI (once Docker Desktop is running): + - docker mcp client connect claude-code --global + Project specific + - docker mcp client connect claude-code This creates a `.mcp.json` (or updates `~/.claude.json` for global): + Verify it works + Run `/mcp` in Claude Code to see connected servers. + What You Actually Get + - Each server runs in its own container (1 CPU, 2GB RAM limit) - One connection point instead of multiple server configs - Browse and add servers from Docker Hub without hunting - Credential management without manual API token juggling + My Take So Far + Still testing, but seems promising: instead of managing 8 separate MCP server configs that each consume tokens, you get one gateway. The question is whether the gateway itself adds overhead that offsets the benefits. Will update once I've run it through some real workflows.

Hey guys, I present you redlead.ai - which analyzes Reddit and qualifies each post based on your interest on autopilot. What is the twist? I’m an AI Automation Strategist, n8n Ambassador, and vetted expert. I wanted to test and see if an actual n8n backend would be faster. So, the backend is the actual twist compare to a traditional web app, essentially an n8n workflow handling all the logic for me. Was it faster than building my own backend via code? Maybe I don’t know, I will go through the process of rebuilding the backend via code 100% Timeline; -Sunday: Ideation -Monday: Backend created (couple of hours needed) -Tuesday: Frontend Build and ready for pre-production Claude Code was my CTO! Currently on the waitlist, but happy to show you around if you feel this helpful redlead.ai

Hey guys, A new model was released a couple of days ago, and it's big, similar impact as DeepSeek R1 but for tool calling, meaning in the below video I show you how you can use K2 with Claude Code and reduce your cost by 80% (no joke!) In under 10 minutes with 1 prompt, I one-shot a usable application, with a lot of tools calling, and that was pretty huge as only Claude was in that space! 👆 Watch here: https://www.youtube.com/watch?v=QJ3XKBOcOsA The app in the video cost me 0.65$, which would have easily cost more than 5$ with Anthropic Drop some love in the comments and let me know what you're planning to build with this setup! Happy coding Quentin 🚀

🔥 Just dropped a 12-minute no-fluff Loom video showing how to self-host WAHA (WhatsApp API) on Coolify – step-by-step. 👉 Watch here If you’ve been dreaming of combining: ✅ WhatsApp automation on your personal account ✅ You can then use this with n8n to send/received / watch message 🤯 ✅ A clean, self-hosted setup via Coolify This walkthrough will guide you through deploying a Docker image on your Coolify without any Docker knowledge needed. Just follow along, deploy, and you’re live. Perfect for solo founders, automation geeks, and anyone tired of Twilio limits. Let's build that Campaign blasting machine!!! 🚀 https://waha.devlike.pro/docs/overview/quick-start/ Happy making! Quentin

Does anyone know if there's a way to automatically update projects in coolify, normally you'd have to go into the coolify instance and update them manually, but would there be a way to do this automatically instead?