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DNV Renewables

DNV Renewables MCP for AI. Quantify Global Wind and Solar Resource Potential

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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DNV Renewables MCP on Cursor AI Code EditorDNV Renewables MCP on Claude Desktop AppDNV Renewables MCP on OpenAI Agents SDKDNV Renewables MCP on Visual Studio CodeDNV Renewables MCP on GitHub Copilot AI AgentDNV Renewables MCP on Google Gemini AIDNV Renewables MCP on Lovable AI DevelopmentDNV Renewables MCP on Mistral AI AgentsDNV Renewables MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

DNV Renewables accesses world-class climate data for wind and solar resource assessment. It delivers mesoscale climate datasets, energy yield estimates, and global resource metrics needed for project feasibility studies.

Use it to quantify renewable potential for both onshore and offshore sites worldwide.

What your AI can do

Check data availability

Determines if wind or solar datasets are available for a given location before you order anything.

Download order data

Downloads the time series file after an ordered data request has been successfully completed.

Get energy yield estimate

Calculates the estimated annual energy production for a wind turbine at a specific site.

+ 8 more capabilities included
Assess Site Wind Potential

Get detailed wind speed, direction, and temperature metrics for any global point.

Evaluate Solar Irradiance

Access essential solar data like GHI and DNI to plan photovoltaic (PV) systems.

Estimate Energy Output

Calculate the annual energy production estimate for wind turbines given site parameters.

Retrieve Climate Context

Pull long-term mesoscale climate model data necessary for deep resource analysis.

Manage Data Requests

Check the status of large data orders, place new requests, and download completed files.

Included with Plan

Waiting for input…

AI Agent

DNV Renewables: 11 Specialized Tools

These tools let your agent perform every step of resource assessment, from checking data availability to running energy yield calculations.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using DNV Renewables on Vinkius

Check Data Availability

Determines if wind or solar datasets are available for a given location before you order anything.

Download Order Data

Downloads the time series file after an ordered data request has been successfully...

Get Energy Yield Estimate

Calculates the estimated annual energy production for a wind turbine at a specific...

Get Order Status

Checks the current status of a data order—whether it's pending, processing, or ready...

List Available Datasets

Lists all 40+ types of climate and renewable energy datasets available for querying.

List All Orders

Shows an overview list of every data order you've placed within your account history.

Locate Data Nodes

Pinpoints the exact geographic coverage areas and data nodes for a specific dataset type.

Get Mesoscale Climate Data

Retrieves long-term climate model data, useful for broad environmental analysis over...

Place Data Order

Submits an order to extract large volumes of climate or resource data, generating a...

Get Solar Resource Data

Fetches essential solar resource metrics needed for designing photovoltaic systems.

Get Wind Resource Data

Retrieves necessary wind data to assess the suitability and potential of a specific...

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Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The DNV Renewables integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
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  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with DNV Renewables, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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DNV Renewables MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DNV Renewables. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 11 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Sourcing Global Climate Data Used To Be an Academic Nightmare

Today, building a feasibility report means hunting down datasets from dozens of academic sources. You copy-paste coordinates into one site for wind data, then manually search another source for solar irradiance; you spend days compiling PDFs and cross-referencing date ranges just to get the inputs ready.

With this MCP, your agent handles that entire process in a single interaction. It checks availability, pulls multiple resource types like mesoscale climate data, and organizes everything into a clean output file, letting you focus on analysis instead of administration.

Get Energy Yield Estimates

Before this MCP, calculating the projected energy yield required taking specialized software inputs—turbine size, hub height, and local wind speed averages—and running them through a complex model. This was slow, expensive, and often limited by manual data entry.

Now, you simply provide the site details to your agent; it runs `get_energy_yield_estimate` using the best available resource inputs and gives you an immediate, quantified annual energy production range. The complexity disappears.

What your AI can actually do with this

This MCP lets your agent pull professional-grade resource intelligence directly into your workflow. Instead of sifting through disparate academic reports or expensive physical data subscriptions, you access verified wind speed profiles, solar irradiance levels (GHI/DNI), and long-term climate model data for any location on Earth.

It handles the entire spectrum of site assessment: from checking if a specific dataset exists at your coordinates to running complex calculations that estimate annual energy production. You can request time series files covering custom historical periods, which is critical when modeling against past climatic variability. When you use this MCP through Vinkius, your AI agent becomes an immediate resource analyst, allowing you to compare wind and solar potential across dozens of sites without ever leaving your chat window or IDE.

Built · Hosted · Managed by Vinkius DNV Renewables MCP - Wind & Solar Resource Data
Server ID 019d7587-0d74-73bf-9e9a-32bf15a8c843
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

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.

How can I confirm if a dataset is actually available at my specific site using `locate_data_nodes`? +

It shows the precise geographic coverage and data nodes for any dataset. This function tells you exactly where the model was trained or measured, preventing you from ordering data for an area outside its spatial resolution.

What happens if I run `get_order_status` and my file is ready to download? +

The status confirms success and provides a temporary URL for the completed file. Remember, these files auto-delete after twelve hours; you need to use download_order_data quickly.

Before I place an order using `place_data_order`, should I run `check_data_availability` first? +

Yes, always check availability first. Running this function verifies the necessary variables and time periods for your specific location before you waste credits on a full data order.

Does `get_wind_resource_data` cover both onshore and offshore wind sites globally? +

It covers global resources for both onshore and offshore locations. However, remember that accurate results require very specific latitude and longitude coordinates to pinpoint the exact site conditions.

Built & Managed by Vinkius 30s setup 11 tools

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