An astronaut overseeing a futuristic data hub

Connect Moscow Energy Solar Charging Power Plants to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Access solar, fuel, and grid information instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Open-Meteo (ERA5) + OpenStreetMap.

  1. 01

    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.

  2. 02

    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.

  3. 03

    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.

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Open-Meteo (ERA5) + OpenStreetMap.

  1. 04

    Seasonal averages

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

  2. 05

    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.

Real work

What teams actually run

01

Solar Feasibility

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

02

EV Trip Planning

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

03

Fuel Sourcing

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

04

Climate Research

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

One connector, every AI

Open-Meteo (ERA5) + OpenStreetMap works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Open-Meteo (ERA5) + OpenStreetMap to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

988ms average. Fast in production.

Open-Meteo (ERA5) + OpenStreetMap is checked daily against the live service.

Daily averagePeak 1109ms
Oct 3Today
Fastest day
773ms
Slowest day
1109ms
14-day trend
Slowing+8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Open-Meteo (ERA5) + OpenStreetMap, so you can see the experience inside your AI.

It does not authenticate your account with Open-Meteo (ERA5) + OpenStreetMap. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Open-Meteo (ERA5) + OpenStreetMap Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_ggdOBuJqt5dmRVGuWzqagPAK2dREeBjvWoeme7q5/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Open-Meteo (ERA5) + OpenStreetMap capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "moscow-energy-solar-charging-power-plants-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ggdOBuJqt5dmRVGuWzqagPAK2dREeBjvWoeme7q5/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Open-Meteo (ERA5) + OpenStreetMap in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Open-Meteo (ERA5) + OpenStreetMap owners hand off.

This MCP serves professionals working with energy infrastructure and logistics in the Moscow region.

  • 01

    Energy Planners

    They use solar and climate data to model energy demand and renewable potential.

  • 02

    Logistics Drivers

    They rely on the capability to find specific fuel types or EV charging points.

  • 03

    Urban Researchers

    They pull historical climate and power plant data for regional studies.

FAQ

Questions Open-Meteo (ERA5) + OpenStreetMap owners ask.

  • 01

    How far back does the climate data go?

    The seasonal_averages capability provides monthly climate data from 1940 to 2025.

  • 02

    Can I find free EV charging stations?

    Yes, you can use find_charging_stations and filter by the fee parameter to find free options.

  • 03

    What kind of fuel can I search for?

    The find_fuel_stations capability allows you to search for diesel, octane 95, octane 98, LPG, CNG, and electric.

  • 04

    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.

  • 05

    What data is used for solar calculations?

    The solar_resource capability uses ERA5 shortwave radiation data to provide mean, peak, and total monthly values.

  • 06

    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.

  • 07

    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.

  • 08

    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.

  • 09

    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.

Connect Open-Meteo (ERA5) + OpenStreetMap to Claude, Cursor, ChatGPT & more