Feb 24
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📌 This video is sponsored by Sim.ai. ⭐▬▬▬▬▬▬ CHECKOUT SIM AI👋 ▬▬▬▬▬▬⭐ https://sim.ai/r/9Px2V ⭐▬▬▬▬▬▬ JOIN ACEDEVHUB COURSE WAITLIST FOR FREE👋 ▬▬▬▬▬▬⭐ https://acedevhub.com/courses In this video, we build a multi-agent system using Sim.ai and MCP. The system is split into two workflows: A Research Agent deployed as an MCP tool A Planner / Orchestrator Agent that applies guardrails and calls the MCP tool This is a production-style agent architecture where tools are deployed independently and agents orchestrate them. You’ll learn how to deploy workflows as MCP tools, call them from another agent, handle structured inputs/outputs, and avoid common MCP integration issues. Built using Sim.ai (open-source) and MCP. ⭐▬▬▬▬▬▬ TIMESTAMPS 👋 ▬▬▬▬▬▬⭐ 00:00 Project demo and tech overview 02:28 Project architecture and flow 04:00 Building workflow one - research agent 15:24 Building workflow two - planner agent 24:32 Deploy as MCP, creating MCP server and MCP tool 27:40 Completing workflow one - calling MCP tool 32:32 Testing our agent using Next JS UI 👋▬▬▬▬▬▬ BUY ME A COFFEE 🙂 ▬▬▬▬▬▬👋 https://www.buymeacoffee.com/sangammukh6 🔔▬▬▬▬▬▬ SUBSCRIBE FOR MORE BACKEND PROJECTS ▬▬▬▬▬▬🔔 https://www.youtube.com/channel/UCuWZvXIeoDzZKCzpTuC5krQ 👋 ▬▬▬▬▬▬ CONNECT WITH ME ▬▬▬▬▬▬👋 LinkedIn: https://www.linkedin.com/in/sangam-mukherjee-400488134/ Instagram: https://www.instagram.com/sangam_mukherjee/ #SimAI #MCP #MultiAgent #AgenticAI #JavaScript #OpenSource