ACLM Lab Interpreter
Interpret lab values against ACLM-optimized ranges. Returns deprescription signals.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'interpret_labs' description lacks action verbin interpret_labs
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"aclm-lab-interpreter": {
"url": "https://web-production-ae61.up.railway.app/mcp/aclm-lab-interpreter"
}
}
}Remote endpoints
https://web-production-ae61.up.railway.app/mcp/aclm-lab-interpreterstreamable-httpWhat it can do
Tool inventory
Tools (2)
🟢interpret_labs(lab_values, current_medications, health_goals)
Interpret a panel of lab values against ACLM-optimized reference ranges. Returns risk classification per marker, lifestyle interventions, and medication deprescription signals.
Input Schema
{
"type": "object",
"properties": {
"lab_values": {
"type": "object",
"description": "Key-value pairs of biomarker names and values. Common keys: hba1c, fasting_glucose, fasting_insulin, ldl, hdl, triglycerides, apob, lp_a, hscrp, vitamin_d, b12, ferritin, tsh, free_t4, free_t3."
},
"current_medications": {
"type": "array",
"items": {
"type": "string"
}
},
"health_goals": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"lab_values"
]
}🟢marker_reference(marker)
Look 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).
Input Schema
{
"type": "object",
"properties": {
"marker": {
"type": "string"
}
},
"required": [
"marker"
]
}Community
Evidence