You'd reach for this when you need to evaluate lab results against American College of Lifestyle Medicine optimized reference ranges rather than standard clinical ranges. It interprets lab values and flags deprescription opportunities, which is useful if you're building tools for preventive medicine, functional health practices, or medication reconciliation workflows. The source is light on implementation details, but the concept is straightforward: send in lab data, get back analysis based on ACLM standards that tend to be tighter than conventional ranges, plus signals about where medications might be reduced or eliminated. Hosted on Railway and accessible via streamable HTTP transport.
claude mcp add --transport http io.github.rabyavalla-aclm-lab-interpreter https://web-production-ae61.up.railway.app/mcp/aclm-lab-interpreter