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DNV Renewables MCP Server for Claude Code 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add DNV Renewables as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Vinkius supports streamable HTTP and SSE.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install DNV Renewables and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·bash
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add dnv-renewables --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
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* 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.

Claude Code registers DNV Renewables as an MCP server in a single terminal command. Once connected, Claude Code discovers all 11 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where DNV Renewables data drives decisions without human intervention.

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 Claude Code 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 Claude Code via MCP

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

01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

02

Add the MCP Server

Run the command above in your terminal

03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

04

Start using DNV Renewables

Ask Claude: "Using DNV Renewables, show me...". 11 tools are ready

Why Use Claude Code with the DNV Renewables MCP Server

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

01

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

02

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

03

Claude Code runs headlessly, enabling unattended batch processing using DNV Renewables tools in cron jobs or deployment scripts

04

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

DNV Renewables + Claude Code Use Cases

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

01

CI/CD integration: embed DNV Renewables tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

02

Headless batch processing: schedule Claude Code to query DNV Renewables nightly and generate reports without human intervention

03

Shell scripting: pipe DNV Renewables outputs into other CLI tools for data transformation, filtering, and aggregation

04

Infrastructure monitoring: run Claude Code in a cron job to query DNV Renewables status endpoints and alert on anomalies

DNV Renewables MCP Tools for Claude Code (11)

These 11 tools become available when you connect DNV Renewables to Claude Code via MCP:

01

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

02

download_order_data

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

03

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

04

get_mesoscale_climate_data

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

05

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

06

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

07

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

08

list_all_orders

List all data orders in your account

09

list_available_datasets

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

10

locate_data_nodes

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

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

Example Prompts for DNV Renewables in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with DNV Renewables immediately.

01

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

02

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

03

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

Troubleshooting DNV Renewables MCP Server with Claude Code

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

01

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
02

Connection timeout

Check your internet connection and verify the Edge URL is reachable

DNV Renewables + Claude Code FAQ

Common questions about integrating DNV Renewables MCP Server with Claude Code.

01

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
02

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
03

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

Connect DNV Renewables to Claude Code

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.