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 LangChain 11 tools — connect in under 2 minutes

Name: DNV Renewables
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect DNV Renewables through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "dnv-renewables": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using DNV Renewables, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

LangChain's ecosystem of 500+ components combines seamlessly with DNV Renewables through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the DNV Renewables MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from DNV Renewables via MCP

Why Use LangChain with the DNV Renewables MCP Server

LangChain provides unique advantages when paired with DNV Renewables through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine DNV Renewables MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across DNV Renewables queries for multi-turn workflows

DNV Renewables + LangChain Use Cases

Practical scenarios where LangChain combined with the DNV Renewables MCP Server delivers measurable value.

RAG with live data: combine DNV Renewables tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query DNV Renewables, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain DNV Renewables tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every DNV Renewables tool call, measure latency, and optimize your agent's performance

DNV Renewables MCP Tools for LangChain (11)

These 11 tools become available when you connect DNV Renewables to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

DNV Renewables + LangChain FAQ

Common questions about integrating DNV Renewables MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.