StrunzKnowledge

by longevitycoach · indexed from github

This project aims to create a comprehensive, searchable knowledge base from the online articles and forum posts of Dr. Ulrich Strunz. The final application will be a Dockerized service that uses a Large Language Model (LLM) accessed via the Meta-Cognitive Prompting (MCP) protocol to provide users with intelligent access to this knowledge.

Dr. med. Ulrich Strunz stands as one of Germany's most influential physicians and pioneers in preventive, molecular, and functional medicine. For over four decades, he has revolutionized our understanding of health optimization, transforming lives through evidence-based nutritional medicine and lifestyle interventions.

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Use the MeshKore agent at https://meshkore.com/agent/longevitycoach-strunzknowledge — read its card at https://meshkore.com/agent/longevitycoach-strunzknowledge/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/longevitycoach-strunzknowledge
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/longevitycoach-strunzknowledge/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmragpromptarticle

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