lab-units-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@lab-units-mcp Convert glucose 99 mg/dL to mmol/L"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
lab-units-mcp
An MCP server that converts clinical blood-test results between conventional and SI units, and resolves lab-marker names — including abbreviations and non-English labels — to a canonical analyte.
I built the first version of this while wiring up a pipeline that ingested blood panels from several different labs. Half of them reported glucose in mg/dL and half in mmol/L, HbA1c came back as either a percentage or mmol/mol, and the marker names were inconsistent across providers and languages. The conversion factors are not complicated, but keeping them correct and in one place — with the name-matching that has to happen before you can convert anything — was worth pulling out into a small, testable tool. This is that tool, exposed over MCP so an assistant can call it directly.
It is a units-and-naming utility. It does not interpret results, does not carry reference ranges, and is not medical advice.
Tools
Tool | What it does |
| Convert a value between two units of the same analyte (e.g. glucose |
| Resolve a printed label ( |
| List every supported analyte with its canonical unit and unit options. |
The analyte can be passed by name or by a common synonym in English or Russian, so
glucose, Glucose and глюкоза all resolve to the same marker.
Related MCP server: NIH Research MCP Demo
Supported analytes
Glucose, total/HDL/LDL cholesterol, triglycerides, creatinine, urea, total bilirubin, uric acid, calcium, iron, magnesium, phosphate, haemoglobin, HbA1c, albumin, total protein, C-reactive protein, testosterone, estradiol, cortisol, free T4, free T3, vitamin D (25-OH), vitamin B12, folate, insulin, sodium, potassium and chloride.
Conversion factors are the standard molar-mass-derived values used across clinical
laboratories. HbA1c uses the NGSP ↔ IFCC relationship
(mmol/mol = (% − 2.152) × 10.931).
Install
npm install -g lab-units-mcpOr run it without installing:
npx lab-units-mcpUse it with Claude Desktop
Add this to your claude_desktop_config.json:
{
"mcpServers": {
"lab-units": {
"command": "npx",
"args": ["-y", "lab-units-mcp"]
}
}
}There are no API keys and no network calls — everything runs locally.
Use it with the Claude Code CLI
claude mcp add lab-units -- npx -y lab-units-mcpExamples
convert_lab_value analyte="glucose" value=99 from_unit="mg/dL"
-> 99 mg/dL = 5.494 mmol/L (Glucose)
convert_lab_value analyte="HbA1c" value=5.7 from_unit="%" to_unit="mmol/mol"
-> 5.7 % = 38.79 mmol/mol (HbA1c)
identify_analyte label="ЛПНП"
-> ЛПНП -> LDL cholesterol (key: ldl_cholesterol); units: mmol/L, mg/dLDevelop
npm install
npm run build
npm startLicense
MIT
Available Tools
3 toolsconvert_lab_valueConvert a lab value between unitsA
Convert a single blood-chemistry result between conventional and SI units (e.g. glucose mg/dL <-> mmol/L, HbA1c % <-> mmol/mol). The analyte can be given by name or a common synonym in English or Russian. If to_unit is omitted and the analyte has exactly two units, it converts to the other one.
Inputs: value (required), analyte (required), from_unit (required), to_unit.
identify_analyteIdentify a lab marker from its labelA
Resolve a lab-report label — including an abbreviation or a non-English name — to a canonical analyte, and report the units it can be expressed in. Useful for normalising results parsed from labs that use local naming conventions.
Inputs: label (required).
list_analytesList supported analytesA
List every analyte this server can convert, with its display name, canonical unit and the full set of units available for conversion.
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool has a distinct purpose: convert_lab_value performs conversions, identify_analyte resolves labels to canonical analytes, and list_analytes enumerates supported analytes. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern: convert_lab_value, identify_analyte, list_analytes. The verbs and nouns are specific and predictable, making the API intuitive.
Three tools is an ideal size for a focused unit conversion server. Each tool adds essential functionality without redundancy or bloat, and the count is well within the recommended 3-15 range.
The server provides a complete workflow: list analytes to discover what is available, identify an analyte from a lab report, and convert values between units. There are no obvious missing operations for its stated purpose.
Maintenance
Related MCP Connectors
Read-only U.S. lab-test catalog, collection-site search, and reference-range context.
Doctor-reviewed blood-test markers, conditions & symptoms as agent tools. EN/RU/HE. Hosted.
Interpret lab values against ACLM-optimized ranges. Returns deprescription signals.
Blood-test markers, lab panels, conditions & symptoms as agent tools. EN/RU/HE. Hosted.
Related MCP Servers
- AlicenseAqualityDmaintenanceEnables drug terminology standardization and name normalization via RxNav API, supporting drug name search, generic/brand name conversion, ATC classification, and ingredient lookup.6GPL 3.0
- FlicenseAqualityDmaintenanceEnables interaction with synthetic NIH-style clinical research data through tools for searching publications, querying patient metadata, analyzing AAA measurements, and retrieving protocol guidance.5-
- AlicenseAqualityCmaintenanceConverts messy metabolite names into standard database identifiers (KEGG, HMDB, ChEBI, PubChem, InChIKey) and performs crosswalking to Mouse-GEM for metabolic model input, with deterministic tools and an LLM reasoning layer for identity disambiguation.20MIT
- AlicenseAqualityBmaintenanceEnables AI agents to analyze synthetic biomarker panels via Phi Longevity's PRISM clinical recommendation engine, providing tiered, guideline-cited recommendations. Also offers tools to list supported biomarkers and retrieve methodology.14853 npmApache 2.0