DNV Renewables MCP Server for Mastra AI 11 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DNV Renewables through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"dnv-renewables": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DNV Renewables Agent",
instructions:
"You help users interact with DNV Renewables " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DNV Renewables?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and DNV Renewables tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the DNV Renewables MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 11 tools from DNV Renewables via MCP
Why Use Mastra AI with the DNV Renewables MCP Server
Mastra AI provides unique advantages when paired with DNV Renewables through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add DNV Renewables without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every DNV Renewables tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
DNV Renewables + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DNV Renewables MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DNV Renewables, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DNV Renewables as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DNV Renewables on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DNV Renewables tools alongside other MCP servers
DNV Renewables MCP Tools for Mastra AI (11)
These 11 tools become available when you connect DNV Renewables to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting DNV Renewables to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDNV Renewables + Mastra AI FAQ
Common questions about integrating DNV Renewables MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect DNV Renewables to Mastra AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.