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.

DNV Renewables MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Name: DNV Renewables
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DNV Renewables through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="DNV Renewables Assistant",
            instructions=(
                "You help users interact with DNV Renewables. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DNV Renewables"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DNV Renewables MCP Server

Connect to DNV Renewables API (formerly EMD - Energy and Market Data) and bring world-class wind and solar resource assessment intelligence to any AI agent. Access over 40 climate datasets with mesoscale data, energy yield estimates, and time series extraction for renewable energy projects.

The OpenAI Agents SDK auto-discovers all 11 tools from DNV Renewables through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DNV Renewables, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Wind Resource Assessment — Get wind speed, direction, and temperature data for any global location
Solar Resource Assessment — Access GHI, DNI, DHI, temperature, and wind speed for PV project planning
Energy Yield Estimates — Calculate estimated annual energy production (AEP) for wind turbine configurations
Mesoscale Climate Data — Retrieve long-term climate model data for resource assessment
Dataset Catalog — Browse 40+ available climate datasets including mesoscale, reanalysis, and atlas data
Data Availability — Check what data exists for any geographic coordinates before ordering
Data Node Location — Find geographic coverage areas and data nodes for specific datasets
Order Management — Place data orders, track status, and download completed time series files
Global Coverage — Access wind and solar data for onshore and offshore locations worldwide
Custom Time Periods — Request data for specific date ranges from historical archives

The DNV Renewables MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DNV Renewables to OpenAI Agents SDK via MCP

Follow these steps to integrate the DNV Renewables MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from DNV Renewables

Why Use OpenAI Agents SDK with the DNV Renewables MCP Server

OpenAI Agents SDK provides unique advantages when paired with DNV Renewables through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DNV Renewables + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DNV Renewables MCP Server delivers measurable value.

Automated workflows: build agents that query DNV Renewables, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries DNV Renewables, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through DNV Renewables tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query DNV Renewables to resolve tickets, look up records, and update statuses without human intervention

DNV Renewables MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect DNV Renewables to OpenAI Agents SDK via MCP:

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

download_order_data

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

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

get_mesoscale_climate_data

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

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

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

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

list_all_orders

List all data orders in your account

list_available_datasets

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

locate_data_nodes

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

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

Example Prompts for DNV Renewables in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DNV Renewables immediately.

"Check what wind data is available for a site at 55.5, 12.0."

"Estimate energy yield for a 5MW wind turbine at 55.5, 12.0 with 120m hub height."

"Get solar resource data for a PV site at 35.0, -106.0 (New Mexico)."

Troubleshooting DNV Renewables MCP Server with OpenAI Agents SDK

Common issues when connecting DNV Renewables to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DNV Renewables + OpenAI Agents SDK FAQ

Common questions about integrating DNV Renewables MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.