DNV Renewables MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DNV Renewables through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using DNV Renewables, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every DNV Renewables tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the DNV Renewables MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 11 tools from DNV Renewables and passes them to the LLM
Why Use Vercel AI SDK with the DNV Renewables MCP Server
Vercel AI SDK provides unique advantages when paired with DNV Renewables through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DNV Renewables integration everywhere
Built-in streaming UI primitives let you display DNV Renewables tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
DNV Renewables + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DNV Renewables MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DNV Renewables in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DNV Renewables tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DNV Renewables capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DNV Renewables through natural language queries
DNV Renewables MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect DNV Renewables to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting DNV Renewables to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDNV Renewables + Vercel AI SDK FAQ
Common questions about integrating DNV Renewables MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect DNV Renewables with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DNV Renewables to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
