Solar Sathi MCP
Allows generating plain-English solar feasibility reports using OpenAI's language models.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Solar Sathi MCPGenerate a solar feasibility report for my home in Hyderabad with 1500 sqft roof and monthly bill ₹5000."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: mcp-pvgis
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
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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