Manufacturing & Industry 4.0 Soumith's LLM AbusersSubmitted July 25, 2026

Continuum Forge — Tacit Knowledge Capture, Codification & Transfer Engine

An MCP app on the Model Context Protocol built by Soumith's LLM Abusers at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

Continuum Forge bridges the generational skill gap in industrial manufacturing by turning fragile, unwritten expert knowledge into verifiable, automated safety rules. WHAT IT DOES: Over 80% of critical manufacturing rules of thumb live only in senior technicians' heads. Continuum Forge operates an Agentic Model Context Protocol (MCP) pipeline that: 1. Grounded Elicitation: Ingests raw interview transcripts from senior technicians. 2. Rule Codification: Codifies unwritten human heuristics into machine-readable Structured JSON AST (Abstract Syntax Tree) rules. 3. Database Validation: Validates rules statistically against real-time & historical Neon PostgreSQL sensor telemetry (e.g. Pump B vibration & temperature logs). 4. Real-Time Coaching: Delivers instant guidance to junior operators with dynamic verbosity settings ("short" for emergency fixes vs "detailed" for mentor training). 5. Langfuse Observability: Wraps every tool call in Langfuse telemetry for 100% auditability and zero AI hallucination. WHO IT IS FOR: Smart factories, industrial plant managers, and junior technicians looking to preserve senior expertise before retirement and prevent catastrophic equipment burnouts. WHAT MAKES IT SPECIAL: Built natively on the NitroStack MCP Framework with custom Next.js MCP Widgets (Rule AST Visualizer, Emergency Guidance Card, DB Visualizer), live Neon DB telemetry, and full Langfuse tracing.

Manufacturing & Industry 4.0 track

Create intelligent systems for smart factories, predictive maintenance, quality control, and supply chain optimization.

Live MCP appSource code

Team Soumith's LLM Abusers

  • Devi Sri SoumithLead

  • Aaditya Paul

  • Aadi Haldar

    X

  • Anirudh Jayan

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Frequently asked questions

What does Continuum Forge — Tacit Knowledge Capture, Codification & Transfer Engine do?
Continuum Forge bridges the generational skill gap in industrial manufacturing by turning fragile, unwritten expert knowledge into verifiable, automated safety rules. WHAT IT DOES: Over 80% of critical manufacturing rules of thumb live only in senior technicians' heads. Continuum Forge operates an Agentic Model Context Protocol (MCP) pipeline that: 1. Grounded Elicitation: Ingests raw interview transcripts from senior technicians. 2. Rule Codification: Codifies unwritten human heuristics into machine-readable Structured JSON AST (Abstract Syntax Tree) rules. 3. Database Validation: Validates rules statistically against real-time & historical Neon PostgreSQL sensor telemetry (e.g. Pump B vibration & temperature logs). 4. Real-Time Coaching: Delivers instant guidance to junior operators with dynamic verbosity settings ("short" for emergency fixes vs "detailed" for mentor training). 5. Langfuse Observability: Wraps every tool call in Langfuse telemetry for 100% auditability and zero AI hallucination. WHO IT IS FOR: Smart factories, industrial plant managers, and junior technicians looking to preserve senior expertise before retirement and prevent catastrophic equipment burnouts. WHAT MAKES IT SPECIAL: Built natively on the NitroStack MCP Framework with custom Next.js MCP Widgets (Rule AST Visualizer, Emergency Guidance Card, DB Visualizer), live Neon DB telemetry, and full Langfuse tracing.
Who built Continuum Forge — Tacit Knowledge Capture, Codification & Transfer Engine?
Continuum Forge — Tacit Knowledge Capture, Codification & Transfer Engine was built by team Soumith's LLM Abusers at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the Manufacturing & Industry 4.0 track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.