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Andrea Balducci (@andreabalducci) showcases 'Jarvis Semantic MCP' applied to…

2026-06-17 · 13:17 UTC ·@andreabalducci ·0 min read

Brief

Andrea Balducci presents Jarvis Semantic MCP in action for manufacturing knowledge graphs, claiming a decade-long idea (first slide from 2014) is now implemented in 2026 to find engine-block photographs across document revisions. The LinkedIn-linked demo emphasizes semantic search, digital thread and enterprise AI (Microsoft-related hashtags).

Why it matters

Andrea Balducci (@andreabalducci) showcases 'Jarvis Semantic MCP' applied to manufacturing knowledge graphs and digital thread on LinkedIn (post dated 2026-06-17).

Key details

  • He contrasts a slide created in 2014 with work in 2026, claiming they've implemented a previously hard-to-build capability: locating engine-block photographs across revisioned artifacts using semantic/graph methods.
  • Post uses hashtags #ai #microsoftailabs #digitalthread #knowledgegraph #manufacturing #enterpriseai #jarviscloud and links to an Italian LinkedIn post demonstrating the system.
Source evidence

Jarvis Semantic MCP at work.

linkedin.com/posts/andreabal…

Link

ai #microsoftailabs #digitalthread #knowledgegraph #manufacturing #enterpriseai #jarviscloud |...

2014 → 2026 La prima immagine è una slide che realizzammo oltre dieci anni fa. L’idea era semplice da descrivere, molto difficile da realizzare: “Trova le fotografie del blocco motore nelle revisioni...
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