Replay

How to Use the Amass MCP in Your Scientific Work — Live Demo

Amass Technologies

51:01

Are you missing reliable citations in your AI tools? The Amass MCP gives any Claude, ChatGPT, or AI agent direct access to the highly curated BioMedCore and TrialCore datasets — connect once, and your model can pull trials, papers, and targets by context, not by keyword.

In this session, Alex and Lluís will run live queries across all three use cases and show exactly how the MCP connects inside Claude.ai and Claude Code.

What we will cover

Setup, live: running in Claude in a few clicks (works with ChatGPT and Codex too).
Briefing in one shot: ask for a competitive briefing on an indication, get back a structured doc with citations.
Stress-test a thesis: ask for the strongest case against your bet — out comes a counter-brief with contradictory data and failed trials.
Multi-hop research: chain KOL scans, trial cross-references and rankings in a single conversation.
Build your own skill: package any of the above as a reusable workflow.

30–40 minutes, followed by Q&A. The session will be recorded.

Who this is for

Researchers, developers, and teams wanting to get started with or already building AI-assisted workflows in drug discovery, clinical operations, or competitive intelligence.

Speakers

Alexander Junge

Co-founder at Amass Technologies

Alex Junge is the architect behind the Amass *Core platform and the MCP. Before Amass, he was Head of Machine Learning at Corti and worked as a Senior Data Scientist at Novo Nordisk.

Lluís Colomer Coll

AI Engineer, Amass

Leads development of Amass agents and applied AI workflows. Focused on model orchestration, research workflows and production-grade scientific agents.

Hosted by Amass Technologies