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carbon_footprint_calculator

Active

Tool of @gapup/mcp-knowledge

declared in 0.2.0

Calculate a company's greenhouse-gas footprint under the GHG Protocol (Scope 1 + 2 + 3, in tCO2eq, tier-2 accuracy ±20%). Returns the emissions breakdown, hotspot identification, 5-8 reduction levers each with capex and payback, an SBTi-aligned reduction trajectory over 5-25 years, the 15 Scope-3 categories in detail, and CSRD/ESRS reporting readiness. When to use this tool: the user needs a carbon assessment for CSRD compliance pre-audit, green-finance access, or supplier ESG scorecards. Inputs: the company profile and its activity data. Delivered by Émilie, the AI Sustainability lead of the Gapup portfolio.

Parameters schema

{
  "type": "object",
  "required": [
    "company",
    "perimeter",
    "scope2Sources"
  ],
  "properties": {
    "async": {
      "type": "boolean",
      "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
    },
    "focus": {
      "type": "string",
      "maxLength": 400
    },
    "company": {
      "type": "object",
      "required": [
        "name",
        "sector",
        "fte",
        "referenceYear"
      ],
      "properties": {
        "fte": {
          "type": "integer",
          "minimum": 1
        },
        "name": {
          "type": "string",
          "maxLength": 120,
          "minLength": 2
        },
        "sector": {
          "type": "string",
          "maxLength": 120,
          "minLength": 2
        },
        "locations": {
          "type": "integer",
          "minimum": 1
        },
        "revenueEur": {
          "type": "number",
          "minimum": 0
        },
        "referenceYear": {
          "type": "integer",
          "maximum": 2030,
          "minimum": 2018
        }
      }
    },
    "perimeter": {
      "type": "object",
      "required": [
        "organizational",
        "geographic"
      ],
      "properties": {
        "geographic": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "maxItems": 20,
          "minItems": 1
        },
        "organizational": {
          "enum": [
            "operational-control",
            "financial-control",
            "equity-share"
          ],
          "type": "string"
        },
        "excludedActivities": {
          "type": "string",
          "maxLength": 400
        }
      }
    },
    "scope1Sources": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "source",
          "fuelType",
          "annualConsumption",
          "unit"
        ],
        "properties": {
          "unit": {
            "type": "string",
            "maxLength": 40
          },
          "source": {
            "type": "string",
            "maxLength": 120,
            "minLength": 2
          },
          "fuelType": {
            "type": "string",
            "maxLength": 80,
            "minLength": 2
          },
          "annualConsumption": {
            "type": "number",
            "minimum": 0
          }
        }
      },
      "maxItems": 15
    },
    "scope2Sources": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "source",
          "energyType",
          "annualConsumptionKWh",
          "location",
          "isRenewableContract"
        ],
        "properties": {
          "source": {
            "type": "string",
            "maxLength": 120,
            "minLength": 2
          },
          "location": {
            "type": "string",
            "maxLength": 80,
            "minLength": 2
          },
          "energyType": {
            "enum": [
              "electricity",
              "heat",
              "steam",
              "cooling"
            ],
            "type": "string"
          },
          "isRenewableContract": {
            "type": "boolean"
          },
          "annualConsumptionKWh": {
            "type": "number",
            "minimum": 0
          }
        }
      },
      "maxItems": 20,
      "minItems": 1
    },
    "reductionTargets": {
      "type": "object",
      "required": [
        "sbtiAligned",
        "targetYear",
        "targetReductionPct"
      ],
      "properties": {
        "targetYear": {
          "type": "integer",
          "maximum": 2050,
          "minimum": 2025
        },
        "sbtiAligned": {
          "type": "boolean"
        },
        "targetReductionPct": {
          "type": "number",
          "maximum": 100,
          "minimum": 0
        }
      }
    },
    "scope3Activities": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "category",
          "description"
        ],
        "properties": {
          "category": {
            "type": "string",
            "description": "GHG Protocol Scope 3 category 1-15"
          },
          "description": {
            "type": "string",
            "maxLength": 300,
            "minLength": 10
          },
          "estimatedScale": {
            "type": "string",
            "maxLength": 120,
            "minLength": 4
          }
        }
      },
      "maxItems": 15
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.700.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

@gapup/mcp-knowledge

https://github.com/getgapup/gapup-mcp

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carbon_footprint_calculator — @gapup/mcp-knowledge — PRSM MCP