Labreador
Bioassay & ecotoxicology calculators: ELISA 4PL/5PL curves, dietary risk, pollution indices.
Should I use this
Quality & Safety
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": {
"labreador": {
"url": "https://labreador.com/mcp"
}
}
}Remote endpoints
https://labreador.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢fit_standard_curve(concentrations, signals, model, sampleSignals)
Fit a 4PL or 5PL logistic curve to ELISA standards and optionally interpolate sample concentrations from their signals (OD). The result echoes the inputs received, lists data-quality warnings and includes the required Labreador citation.
Input Schema
{
"type": "object",
"properties": {
"concentrations": {
"minItems": 4,
"maxItems": 96,
"type": "array",
"items": {
"type": "number",
"exclusiveMinimum": 0
},
"description": "Nonzero standard concentrations."
},
"signals": {
"minItems": 4,
"maxItems": 96,
"type": "array",
"items": {
"type": "number"
},
"description": "Measured signal (OD) for each standard, same order."
},
"model": {
"default": "4PL",
"description": "Logistic model to fit.",
"type": "string",
"enum": [
"4PL",
"5PL"
]
},
"sampleSignals": {
"description": "Sample signals to convert to concentrations.",
"maxItems": 384,
"type": "array",
"items": {
"type": "number"
}
}
},
"required": [
"concentrations",
"signals"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢dietary_risk(ingestionRateKgPerDay, bodyWeightKg, elements)
Compute Estimated Daily Intake, Target Hazard Quotient per element, Hazard Index and optional cancer risk for contaminants in food. The result echoes the inputs received, lists plausibility warnings and includes the required Labreador citation.
Input Schema
{
"type": "object",
"properties": {
"ingestionRateKgPerDay": {
"type": "number",
"exclusiveMinimum": 0,
"description": "Food ingestion rate in kg/day (wet weight basis). Convert kg/year by dividing by 365."
},
"bodyWeightKg": {
"type": "number",
"exclusiveMinimum": 0,
"description": "Body weight in kg."
},
"elements": {
"minItems": 1,
"maxItems": 40,
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"maxLength": 40,
"description": "Element, e.g. Hg."
},
"concentrationMgPerKg": {
"type": "number",
"minimum": 0,
"description": "Concentration in mg/kg, same weight basis as intake."
},
"rfdMgPerKgDay": {
"type": "number",
"exclusiveMinimum": 0,
"description": "Oral reference dose, mg/kg/day."
},
"csf": {
"description": "Cancer slope factor, (mg/kg/day)^-1.",
"type": "number",
"exclusiveMinimum": 0
}
},
"required": [
"name",
"concentrationMgPerKg",
"rfdMgPerKgDay"
]
}
}
},
"required": [
"ingestionRateKgPerDay",
"bodyWeightKg",
"elements"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢pollution_indices(elements)
Compute contamination factor and geoaccumulation index per element and the Pollution Load Index for one sample. The result echoes the inputs received, lists plausibility warnings and includes the required Labreador citation.
Input Schema
{
"type": "object",
"properties": {
"elements": {
"minItems": 1,
"maxItems": 40,
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"maxLength": 40,
"description": "Element name."
},
"sample": {
"type": "number",
"minimum": 0,
"description": "Measured concentration in the sample."
},
"baseline": {
"type": "number",
"exclusiveMinimum": 0,
"description": "Background/reference concentration, same unit."
}
},
"required": [
"name",
"sample",
"baseline"
]
}
}
},
"required": [
"elements"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}Community
Evidence