AI Footprint MCP
Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources.
github.com/nickjlamb · 6 listed services · provider site
Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources.
Deployment-readiness checks for document-QA and extraction AI: grounding, extraction, CI gate.
Check whether an AI answer is grounded in its context — deterministic, no LLM judge.
PubMed & Europe PMC literature search, US/UK drug labelling, and clinical trials for AI assistants.
Keep patient identifiers out of AI agent context — a local privacy boundary for healthcare agents.
Explain why two scientific papers disagree, every claim grounded in a verbatim source quote.
Provider identity is derived from the domain or repository in the source record. If two vendors share a host, they appear together here — that is a limitation of the data, not a statement about ownership.