labreador

endpoint

https://labreador.com/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is labreador live?

Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.

Is labreador free to use?

Yes — the hub reached it with no key and no payment.

What tools does labreador have?

3 tools: dietary_risk, fit_standard_curve, pollution_indices.

Is labreador safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• dietary_risk unknown 1h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "ingestionRateKgPerDay",
      "bodyWeightKg",
      "elements"
    ],
    "properties": {
      "elements": {
        "type": "array",
        "items": {
          "type": "object",
          "required": [
            "name",
            "concentrationMgPerKg",
            "rfdMgPerKgDay"
          ],
          "properties": {
            "csf": {
              "type": "number",
              "description": "Cancer slope factor, (mg/kg/day)^-1.",
              "exclusiveMinimum": 0
            },
            "name": {
              "type": "string",
              "maxLength": 40,
              "description": "Element, e.g. Hg."
            },
            "rfdMgPerKgDay": {
              "type": "number",
              "description": "Oral reference dose, mg/kg/day.",
              "exclusiveMinimum": 0
            },
            "concentrationMgPerKg": {
              "type": "number",
              "minimum": 0,
              "description": "Concentration in mg/kg, same weight basis as intake."
            }
          }
        },
        "maxItems": 40,
        "minItems": 1
      },
      "bodyWeightKg": {
        "type": "number",
        "description": "Body weight in kg.",
        "exclusiveMinimum": 0
      },
      "ingestionRateKgPerDay": {
        "type": "number",
        "description": "Food ingestion rate in kg/day (wet weight basis). Convert kg/year by dividing by 365.",
        "exclusiveMinimum": 0
      }
    },
    "additionalProperties": false
  }

  arguments 57 lines copy
• fit_standard_curve unknown 1h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "concentrations",
      "signals"
    ],
    "properties": {
      "model": {
        "enum": [
          "4PL",
          "5PL"
        ],
        "type": "string",
        "default": "4PL",
        "description": "Logistic model to fit."
      },
      "signals": {
        "type": "array",
        "items": {
          "type": "number"
        },
        "maxItems": 96,
        "minItems": 4,
        "description": "Measured signal (OD) for each standard, same order."
      },
      "sampleSignals": {
        "type": "array",
        "items": {
          "type": "number"
        },
        "maxItems": 384,
        "description": "Sample signals to convert to concentrations."
      },
      "concentrations": {
        "type": "array",
        "items": {
          "type": "number",
          "exclusiveMinimum": 0
        },
        "maxItems": 96,
        "minItems": 4,
        "description": "Nonzero standard concentrations."
      }
    },
    "additionalProperties": false
  }

  arguments 47 lines copy
• pollution_indices unknown 1h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "elements"
    ],
    "properties": {
      "elements": {
        "type": "array",
        "items": {
          "type": "object",
          "required": [
            "name",
            "sample",
            "baseline"
          ],
          "properties": {
            "name": {
              "type": "string",
              "maxLength": 40,
              "description": "Element name."
            },
            "sample": {
              "type": "number",
              "minimum": 0,
              "description": "Measured concentration in the sample."
            },
            "baseline": {
              "type": "number",
              "description": "Background/reference concentration, same unit.",
              "exclusiveMinimum": 0
            }
          }
        },
        "maxItems": 40,
        "minItems": 1
      }
    },
    "additionalProperties": false
  }

  arguments 40 lines copy

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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.