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Use DNV Renewables with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Access wind and solar resource data, energy yield estimates, and mesoscale climate data via DNV Renewables (ex-EMD) API.

Included with plan

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

Complete set · 11 capabilities

The complete DNV Renewables capability set.

These are the exact actions your AI can choose when you ask it to work with DNV Renewables.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through DNV Renewables.

  1. 01

    Download order data

    Order must have status success. Files auto-deleted after 12 hours. Download completed order data file

  2. 02

    Get energy yield estimate

    Uses site-specific wind data and turbine parameters to estimate annual energy production. Get energy yield estimate for a wind turbine at a specific location

  3. 03

    Get mesoscale climate data

    Useful for long-term climate analysis. Get mesoscale climate data for a location

  4. 04

    Get solar resource data

    Essential for PV system design and energy yield analysis. Use when user needs solar irradiance data, is assessing solar resource potential, or wants solar data for PV modeling. Get solar resource data for a specific location

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through DNV Renewables.

  1. 05

    Get wind resource data

    Essential for wind farm site assessment and energy yield analysis. Use when user needs wind data for a site, is assessing wind resource potential, or wants wind data for energy modeling. Get wind resource data for a specific location

  2. 06

    Check data availability

    Returns available datasets, time periods, and variables. Essential first step before ordering data. Check data availability for wind and solar at a specific location

  3. 07

    Get order status

    Orders go from pending to processing to success. Once success, a download URL is provided. Files auto-delete after 12 hours. Check status of a previously placed data order

  4. 08

    List all orders

    List all data orders in your account

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through DNV Renewables.

  1. 09

    List available datasets

    Over 40 datasets available. List all available climate and renewable energy datasets

  2. 10

    Locate data nodes

    Useful for understanding spatial resolution and coverage. Locate data nodes for a specific dataset

  3. 11

    Place data order

    The API processes the request and generates a downloadable file. Use getOrderStatus to check when complete. Place an order for climate data extraction

Observed, not estimated

893ms average. Fast in production.

DNV Renewables is checked daily against the live service.

Daily averagePeak 1102ms
Aug 20Today
Fastest day
786ms
Slowest day
1102ms
14-day trend
Slowing+23%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 11 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 DNV Renewables, so you can see the experience inside your AI.

It does not authenticate your account with DNV Renewables. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

DNV Renewables Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_1S7iNaVmvdQWRYqtMBYxWuh3RgJDIc20UY3PBzCe/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 — DNV Renewables capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "dnv-renewables-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_1S7iNaVmvdQWRYqtMBYxWuh3RgJDIc20UY3PBzCe/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

FAQ

Questions DNV Renewables owners ask.

  • 01

    What types of wind and solar data are available?

    DNV Renewables provides over 40 climate datasets including: Mesoscale wind data (global and regional), Solar irradiance (GHI, DNI, DHI), Reanalysis datasets (ERA5, MERRA-2), Global wind energy atlas, Temperature, pressure, humidity, and more. Data covers onshore and offshore locations worldwide with time series from 1980s to present.

  • 02

    How do I get an API token for DNV Renewables?

    Visit the DNV Renewables platform and contact your DNV account manager or visit the EMD/DNV Renewables website to request API access. Once your account is provisioned, you'll receive an API access token from your account dashboard. This token authenticates your requests and is linked to your subscription plan.

  • 03

    How does the data ordering process work?

    The data ordering process is: 1) Check availability for your location, 2) Place an order with dataset, coordinates, and time period, 3) Wait ~30 seconds for processing, 4) Check order status until 'success', 5) Download the generated time series file. Note: Download links expire after 12 hours, so download promptly. Rate limit is 10 orders per 10 minutes.

  • 04

    What is mesoscale climate data and why is it useful?

    Mesoscale climate data comes from numerical weather prediction models that simulate atmospheric conditions at regional scales (typically 1-50 km resolution). Unlike single-point measurements, mesoscale data provides spatially consistent, long-term time series essential for renewable energy resource assessment. It's used for wind farm siting, solar project planning, and long-term energy yield analysis because it captures multi-decadal climate patterns that short-term measurements miss.

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