Hey Makers
The wait is over! We are incredibly proud to announce the official finalists for our Community Challenge: Scaling the Future with Make and MCP.
Over the past few weeks, we’ve watched this community push the absolute frontier of AI infrastructure. From unified context layers to enterprise-grade agentic workflows, the quality of submissions was, frankly, mind-blowing.
Our judges had the nearly impossible task of narrowing down hundreds of high-caliber entries to just six.
Congratulate to the following finalists:
Customer feedback recognition system 👍 by @Goaldigger
The Solution: An emotional intelligence infrastructure that upgrades AI agents from basic sentiment analysis to human-level nuance. By combining Make with a custom MCP server, it classifies social media comments into 12 distinct emotions in real-time, allowing agents to detect true frustration (even when a customer says they are “fine”) and identify high-value leads.
The Win: Ends “tone-deaf” automation by providing AI with granular, queryable emotional data. It saves agencies 15+ hours a week, eliminates manual monitoring anxiety, and turns messy human emotions into quantifiable business metrics and automated escalation flows.
Check out the video for this solution here: Emotional Intelligence as Infrastructure for AI Agents.
Incident response machine🚨 by @FabalosDev
The Solution: An autonomous self-healing engine for industrial and technical infrastructure. Using Make as an MCP host, it detects failures, executes verified fixes (SOPs), and automatically generates forensic audit reports.
The Win: It slashes downtime response from 45 minutes to 1.2 seconds, preventing thousands in lost revenue through deterministic, automated recovery.
Check out the video for this solution here: An autonomous self-healing engine.
Scenario police system 🚓 by @Adeyemi_Mike
The Solution: A “Guardian” agent for large-scale automation governance. Built as a custom MCP server, it gives AI “read/write” access to Make infrastructure, allowing it to audit JSON blueprints for security leaks (PII/API keys), monitor health across hundreds of scenarios, and execute “Emergency Stops” via natural language.
The Win:* Transforms Make from a tool into a governed platform. It reduces incident response time by 90%, eliminates “monitor fatigue” for agencies managing 500+ scenarios, and ensures 100% security audit coverage that human reviewers often miss.
Check out the video for this solution here: Scenario police system.
Website development solution 🌐 by @NeillHuman
The Solution: An end-to-end “conversation-to-deployment” engine for local businesses. By exposing Make scenarios as MCP tools, it allows AI to build and deploy complete, functional WordPress websites from a single chat prompt. The system includes a built-in AI-CRM that automatically handles leads based on the specific “Site ID” to ensure perfect data isolation.
*The Win: Slashes website deployment time by 99%—taking it from weeks to under 2 minutes. It empowers small businesses to go digital instantly and ensures they never miss a lead, reducing the cost of a professional web presence by over 80%.
Check out the video for this solution here: Engine for local businesses deploying websites.
Contextual phone assistant 📞 by @Traveling_Jujj
The Solution: A voice-first AI “Chief of Staff” that turns Make into a runtime for intelligent agents. By integrating ElevenLabs (voice), Telegram, and Google Chat with a custom MCP server, this assistant allows CEOs and teams to manage their entire infrastructure—calendars, Airtable projects, and tasks—entirely hands-free while on the move.
*The Win: Achieves an 80% reduction in coordination time and reclaims 10–12 hours of administrative work per week. It shifts the work-life balance for busy founders, allowing them to execute complex business operations via simple voice commands while driving or away from their desks.
Check out the video for this solution here: Voice-first AI assistant.
God Mode Intel - B2B intelligence by @John_Rippy
The Solution: An enterprise-grade B2B intelligence pipeline that replaces expensive, rigid data contracts with a flexible, async architecture. By using a custom MCP server with 59+ specialized tools, it orchestrates complex lead enrichment tasks across two Make scenarios—one to trigger and one to handle results—ensuring the system never times out even during massive, multi-hour data runs.
*The Win:**God Mode" allows teams to scale from 1 to 10,000 leads without breaking a sweat. It enabled a real-world shift away from high-cost platforms like ZoomInfo, resulting in a 12% increase in meeting attendance and outpacing Q1 performance by 30% through hyper-accurate, AI-enriched ICP data.
Check out the website: God Mode Intel.
What happens next? These finalists are moving on to the final round, where our board of Community Champions will select the winner and we will announce it on 18th February!
To everyone who participated: Thank you. Your hard work did not go unnoticed, and we hope to see you again in our next challenge.
Let us know in the comments: Who are you rooting for? 