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Vinkius

DNV Renewables Connector for AI agents.

11 live capabilities

Access global wind and solar resource data for renewable energy project planning.

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AI Agent

Why people use DNV Renewables

DNV Renewables for Precise Wind and Solar Site Assessment

This Connector changes that by letting your agent pull everything into one place. You can query specific coordinates for wind, solar, and climate data in seconds. You get a clear picture of the site's potential without the manual headache of data hunting.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get professional-grade renewable energy data without leaving your AI client.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Site Feasibility Check

    A developer asks the agent to check what wind data is available for a specific coordinate to decide if a site is worth a physical visit.

  2. Real-world use case 02

    Yield Prediction for Funding

    A consultant needs to estimate the annual energy production for a 5MW turbine to provide a realistic quote for a client's project.

  3. Real-world use case 03

    Climate Research Analysis

    A researcher pulls long-term mesoscale climate data to study regional temperature trends over several decades for a study.

Complete set · 11capabilities

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 Capability

    Check data availability

    Check what wind and solar data exists at a specific location before you place an order. This helps you avoid requesting data for areas with no coverage.

  2. 02 Capability

    Download order data

    Get the download link for your completed data files once the order is successful. The files are available for 12 hours after the order is successful.

  3. 03 Capability

    Get energy yield estimate

    Calculate estimated annual energy production for a wind turbine at a specific location. It uses site-specific wind data and turbine parameters to give you a realistic production number.

  4. 04 Capability

    Get order status

    See if your data order is pending, processing, or ready for download. You'll get a download URL once the status hits success.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through DNV Renewables.

  1. 05 Capability

    List available datasets

    Browse the catalog of over 40 climate and renewable energy datasets. This is the best way to see what data is available for your specific needs.

  2. 06 Capability

    List all orders

    See a list of all data orders in your account. Use this to keep track of multiple project requests at once.

  3. 07 Capability

    Locate data nodes

    Find geographic coverage areas and data nodes for specific datasets. This helps you understand the spatial resolution of the data you want.

  4. 08 Capability

    Get mesoscale climate data

    Pull long-term climate model data for a specific location. This is useful for deep climate analysis and long-term resource planning.

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through DNV Renewables.

  1. 09 Capability

    Place data order

    Request a specific climate data extraction for a project. The API processes the request and generates a downloadable file for you.

  2. 10 Capability

    Get solar resource data

    Get solar irradiance and temperature data for PV system design. This is essential for evaluating solar potential and planning PV arrays.

  3. 11 Capability

    Get wind resource data

    Get wind speed and direction data for wind farm site assessment. Use this to evaluate the wind resource potential for a specific location.

Set up in minutes

One URL. Then ask DNV Renewables to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use DNV Renewables from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_1S7iNaVmvdQWRYqtMBYxWuh3RgJDIc20UY3PBzCe/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it DNV Renewables, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable DNV Renewables for the conversation.

Where the request belongs

Work DNV Renewables can move forward.

Built around the request

This is for the developers and consultants who need to move past guesswork and into data-driven site assessments for wind and solar projects.

01

Wind Developer

Assesses wind potential for new farms and estimates production numbers for project funding.

02

Solar Developer

Evaluates solar irradiance and resource quality for PV site selection and layout planning.

03

Energy Consultant

Provides clients with professional-grade resource assessments and climate modeling.

04

Renewable Energy Researcher

Accesses validated mesoscale climate data for academic studies and climate modeling.

Bring your own AI

Change the model, client or framework. Keep DNV Renewables connected.

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Before you connect

Questions about DNV Renewables.

The practical details behind the request, access and result.

Can DNV Renewables MCP help me find wind data for a new farm?

Yes, it pulls wind speed, direction, and temperature data for specific locations globally, including both onshore and offshore sites.

How do I get solar irradiance data for a PV site?

You can ask your agent to fetch solar resource data for any coordinate. It provides GHI, DNI, and DHI values essential for PV system design.

Can I use this to estimate how much energy a wind turbine will make?

Yes, it can calculate estimated annual energy production (AEP) based on site-specific wind data and your specific turbine parameters.

Is there a way to check if data exists for a specific location first?

Absolutely. You can check data availability for specific coordinates before placing an order to ensure the variables you need are covered.

How do I track my data orders?

You can check the status of any previously placed data order to see if it is pending, processing, or ready for download.

Does this cover global locations?

Yes, it provides access to wind and solar data for onshore and offshore locations worldwide.

What kind of climate datasets are included?

It provides access to over 40 climate datasets, including mesoscale data, reanalysis data, and various atlas datasets.

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.

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.

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.

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.

One connection away

Give your agent a direct line to DNV Renewables.

Connect DNV Renewables once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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