Solar Sathi MCP Server

Solar Sathi MCP Server

Enables solar energy feasibility analysis and ROI calculation for Indian users, including irradiance lookup, capacity estimation, subsidy calculation, and environmental impact assessment.

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README

Solar Sathi MCP Module

A comprehensive Model Context Protocol (MCP) server for solar energy feasibility analysis and ROI calculation in India.

Features

  • Solar Irradiance Lookup: Fetch real solar radiation data from Open-Meteo API
  • System Capacity Calculation: Recommend kW based on consumption and roof area
  • Installation Cost Estimation: Get cost ranges with subsidy deduction
  • PM Surya Ghar Subsidy: Tiered subsidy lookup (₹10K–₹18K/kW)
  • ROI Analysis: Payback period, 25-year savings, and ROI percentage
  • Environmental Impact: CO2 reduction and trees-saved equivalents
  • Homeowner Report: LLM-generated or template-based feasibility reports

Tools

1. get_solar_irradiance

Fetch average daily solar irradiance (kWh/m²/day) for a geographic location.

Inputs:

  • latitude (number): -90 to 90
  • longitude (number): -180 to 180

Output: Daily irradiance, location, data source note


2. calculate_solar_capacity

Recommend solar system size based on monthly bill, tariff, and roof area.

Inputs:

  • monthly_bill (number): Monthly electricity bill (₹)
  • tariff_per_kwh (number): Electricity tariff (₹/kWh)
  • roof_area_sqft (number): Usable roof area (sqft)
  • monthly_units (number, optional): Monthly consumption (kWh). If not provided, derived from bill/tariff.

Output: Capacity (kW), required roof area, roof-limited flag, monthly consumption

Logic:

  • Capacity = monthly_consumption / 120 (assuming 120 units/kW/year)
  • Required area = capacity × 100 sqft/kW
  • If required area > available roof, cap capacity to roof_area / 100 and set roof_limited: true

3. estimate_installation_cost

Get installation cost estimate (all-inclusive: panels, inverter, BOP, labor, permits).

Inputs:

  • capacity_kw (number): System capacity (kW)
  • cost_per_kw (number, optional): Cost per kW (₹). Default: ₹62,500

Output: Total cost, cost range (min/max), capacity


4. calculate_subsidy

Look up PM Surya Ghar subsidy using tiered table.

Inputs:

  • capacity_kw (number): System capacity (kW)

Output: Subsidy per kW, total subsidy, tier description

Tiers:

Capacity (kW) Subsidy (₹/kW) Category
0–3 18,000 Residential ≤3 kW
3.01–10 15,000 Residential 3–10 kW
10.01–100 12,000 Small Commercial/Industrial
>100 10,000 Large Scale

5. calculate_roi

Calculate ROI metrics: payback period, annual/lifetime savings, and ROI percentage.

Inputs:

  • installation_cost (number): Total cost (₹)
  • subsidy (number): Subsidy amount (₹)
  • monthly_bill (number): Current monthly bill (₹)

Output:

  • Final cost after subsidy
  • Monthly/annual savings
  • Payback period (years)
  • 25-year lifetime savings
  • ROI percentage

Logic:

  • Final cost = installation_cost - subsidy
  • Monthly savings = monthly_bill (assumed fully offset)
  • Annual savings = monthly_savings × 12
  • Payback = final_cost / annual_savings
  • Lifetime (25yr) = annual_savings × 25
  • ROI% = ((lifetime - final_cost) / final_cost) × 100

6. calculate_environmental_impact

Calculate CO2 reduction and equivalent trees saved.

Inputs:

  • capacity_kw (number): System capacity (kW)

Output:

  • Annual energy generation (kWh)
  • CO2 reduction (kg and tonnes)
  • Trees saved (equivalent)

Logic:

  • Annual energy = capacity × 120 × 12 (120 units/kW/year)
  • CO2 reduction = annual_energy × 0.82 kg/kWh
  • Trees saved = CO2_reduction / 21 kg/tree/year

Resources

solar://subsidy-table

PM Surya Ghar subsidy lookup table (JSON).

solar://state-tariffs

State-wise residential electricity tariffs (JSON).

solar://installation-costs

Default cost per kW and regional multipliers (JSON).


Prompts

generate_homeowner_report

Generate a comprehensive homeowner-friendly solar feasibility report.

Inputs: All tool outputs (irradiance, capacity, cost, subsidy, ROI, environmental)

Output: Plain-English report covering:

  • Feasibility assessment
  • System recommendation (on-grid/off-grid/hybrid)
  • Financial summary with payback period
  • Environmental impact (relatable language)
  • Action items (next steps)

Behavior:

  • Attempts to use OpenAI or Gemini API if keys are configured
  • Falls back to template-based report if no LLM key available

Environment Variables

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