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.
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 90longitude(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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