# Moscow Energy MCP provides local power data. AI Agent Connect

> Moscow Energy MCP gives your AI client direct access to Moscow's energy landscape. You can pull ERA5 solar radiation data, check monthly climate averages from 1940 to 2025, locate EV charging stations, find specific fuel grades at local stations, and identify the cogeneration plants that power the city.

## Overview
- **Category:** energy
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_ggdOBuJqt5dmRVGuWzqagPAK2dREeBjvWoeme7q5/ai-agent-connect
- **Tags:** moscow, russia, solar, ev-charging, fuel-stations, power-plants, climate, open-meteo, keyless

## Description

You can use this MCP to pull specific energy and climate data for the Moscow region. If you are planning a solar installation, you can pull hourly radiation data to calculate potential output. If you are driving, you can find exactly where to refuel or charge based on specific needs like fuel grade or socket type. The tool also provides a look at the city's infrastructure by listing the gas-fired cogeneration plants that handle the local heat and power supply. It bridges the gap between raw climate datasets like ERA5 and practical, street-level information from OpenStreetMap.

## Tools

### find_charging_stations
Find EV charging stations in Moscow with details on operators, socket types, and power output. You can filter results by specific operators or look for free charging options.

### find_fuel_stations
Locate fuel stations across the city by brand or specific fuel grade. It covers diesel, octane 95 and 98, LPG, CNG, and electric options.

### find_power_plants
Identify the roughly 400 power plants in the Moscow area. You can filter by the energy source, such as gas, coal, or renewables, to see operator and output data.

### seasonal_averages
Get monthly climate averages for Moscow using ERA5 data from 1940 to 2025. This includes temperature, precipitation, and snowfall levels.

### solar_resource
Calculate solar potential using hourly ERA5 shortwave radiation data. It provides daily mean and peak values in W/m² plus monthly totals in kWh/m².

## Prompt Examples

**Prompt:** 
```
Is a solar panel worth it in Moscow?
```

**Response:** 
```
You can use solar_resource for a summer month to get the per-day mean and peak W/m² and the monthly total in kWh/m² to compare against winter data.
```

**Prompt:** 
```
Where can I charge my EV for free?
```

**Response:** 
```
Running find_charging_stations with the fee set to "no" will list the free mapped stations along with their socket types and power output.
```

**Prompt:** 
```
What powers Moscow?
```

**Response:** 
```
The find_power_plants tool lists about 400 plants, mostly gas-fired cogeneration stations, including their operator, source, and output.
```

## Capabilities

### Solar Analysis
Your agent uses ERA5 radiation data to estimate photovoltaic potential.

### Climate Modeling
Your AI client pulls historical temperature and precipitation averages from 1940 onwards.

### EV Routing Support
Your agent finds charging stations based on socket type and availability.

### Fuel Logistics
Your agent locates specific fuel grades like octane 98 or LPG near a coordinate.

### Grid Mapping
Your agent identifies local power plants and their energy sources.

## Use Cases

### Solar Feasibility
Check the monthly solar radiation in Moscow to see if a specific roof location can support solar panels.

### EV Trip Planning
Find a charging station with a specific socket type like CCS or Type 2 while navigating the city.

### Fuel Sourcing
Locate the nearest station that carries high-octane fuel or CNG.

### Climate Research
Analyze historical snowfall and temperature patterns to predict heating season lengths.

## Benefits

- Accesses ERA5 climate data directly through your AI client.
- Filters fuel and charging stations by specific technical requirements.
- Provides real-world power plant output and source data.
- Uses historical data spanning over 80 years for climate context.

## How It Works

Connect your client to Vinkius and start asking questions about Moscow energy.

1. Connect your MCP-compatible client to the Vinkius host.
2. Ask your AI client a question about Moscow solar, fuel, or power data.
3. The agent selects the correct tool from the Moscow Energy MCP.
4. The tool pulls data from Open-Meteo or OpenStreetMap.
5. Your agent receives the data and provides a direct answer.

## Frequently Asked Questions

**How far back does the climate data go?**
The seasonal_averages tool provides monthly climate data from 1940 to 2025.

**Can I find free EV charging stations?**
Yes, you can use find_charging_stations and filter by the fee parameter to find free options.

**What kind of fuel can I search for?**
The find_fuel_stations tool allows you to search for diesel, octane 95, octane 98, LPG, CNG, and electric.

**Does this include information on power plants?**
Yes, find_power_plants provides data on about 400 plants in the Moscow area, including their source and output.

**What data is used for solar calculations?**
The solar_resource tool uses ERA5 shortwave radiation data to provide mean, peak, and total monthly values.

**Do I need an API key?**
No. Every source is keyless and global: OpenStreetMap (Overpass + Nominatim), Open-Meteo and Russian Wikipedia. The MCP defines no credentials.

**Is the solar data measured or modelled?**
Modelled — the ERA5 reanalysis from Copernicus, served keyless by Open-Meteo. It is global horizontal radiation at the coordinate, so a real roof also depends on tilt, orientation and shading.

**Why are only about 400 charging stations listed?**
That is what OpenStreetMap records for the city. The real network is larger — treat the list as the mapped subset, not the full network.

**Can I find charging or fuel near me?**
Pass lat + lon (and optionally km, 0.1–25) and the query narrows to a radius instead of the whole city. Do it before a long list — a citywide scan is capped at 200 rows.