io.github.rabyavalla/aclm-lab-interpreter
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Publisher-provided title
ACLM Lab Interpreter
Publisher-provided description
Interpret lab values against ACLM-optimized ranges. Returns deprescription signals.
Summary by lookupd
Interprets lab panel values against ACLM-optimized ranges, returning risk classes, lifestyle steps, and deprescribing signals per biomarker.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http aclm-lab-interpreter https://web-production-ae61.up.railway.app/mcp/aclm-lab-interpreter
Codex, remote (streamable-http)
codex mcp add aclm-lab-interpreter --url https://web-production-ae61.up.railway.app/mcp/aclm-lab-interpreter
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"aclm-lab-interpreter": {
"url": "https://web-production-ae61.up.railway.app/mcp/aclm-lab-interpreter"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (2 tools)
Publisher-provided text
interpret_labsInterpret a panel of lab values against ACLM-optimized reference ranges. Returns risk classification per marker, lifestyle interventions, and medication deprescmarker_referenceLook up the ACLM-optimized reference range and lifestyle intervention plan for a single biomarker (e.g., apob, lp_a, hscrp, hba1c, fasting_insulin, vitamin_d).
Details
- Version: 5.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 544 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/rabyavalla/bonsai-api
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