How to Use the DNV Renewables MCP in Mastra AI

Q: How do I list all available datasets in a Mastra AI agent?

Have your agent call listavailabledatasets at the start of a run. This tool returns over 40 climate and renewable energy datasets, allowing the agent to dynamically choose the best source for its current task.

Build resilient, self-healing renewable energy workflows using Mastra AI and DNV climate data.

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Connect DNV Renewables MCP to Mastra AI

Create your Vinkius account to connect DNV Renewables to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DNV Renewables with Mastra AI

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Perplexity

Automated wind resource workflows

Mastra AI excels at handling complex multi-step operations. You can build an agent that runs `check_data_availability` for wind datasets, and if the data exists, immediately triggers `get_wind_resource_data`. If a network glitch occurs during the fetch, Mastra's built-in retry mechanism backs off and tries again automatically. This ensures your wind resource assessments complete even when external APIs experience temporary hiccups.

Error-resistant climate ordering via MCP Server

Ordering mesoscale climate data involves waiting for backend extractions to finish. This MCP Server exposes `place_data_order` which Mastra AI wraps in a structured workflow. The workflow engine polls `get_order_status` at scheduled intervals, branching off to notify your team if an order fails. Once the status succeeds, Mastra automatically calls `download_order_data` to grab the climate files.

Dynamic solar node mapping

Finding the right spatial resolution for PV design requires checking where the data actually lives. Your agent can call `locate_data_nodes` to pinpoint the exact geographical nodes for a dataset. After locating the nodes, Mastra AI passes those coordinates to `get_solar_resource_data` to build a localized solar model. This programmatic routing ensures you never request data from empty coordinates.

Setup guide

Set up DNV Renewables MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All DNV Renewables tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "dnv-renewables-mcp-client",
  servers: {
    "dnv-renewables-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "DNV Renewables Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to DNV Renewables tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent DNV Renewables transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DNV Renewables. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about DNV Renewables MCP in Mastra AI

Install the package using npm install @mastra/mcp@latest. Instantiate the MCPClient with your Vinkius URL, call mcpClient.listTools(), and spread those tools directly into your Mastra Agent configuration. The framework handles the transport layer automatically.

Yes, Mastra's workflow engine can be configured with exponential backoff policies. If `place_data_order` or `get_order_status` encounters a transient API error, the workflow pauses and retries without crashing your entire pipeline.

Yes, you can set requireToolApproval on high-cost actions like placing a bulk data order. The agent will pause before executing `place_data_order`, waiting for a manual confirmation from your team before spending API credits.

Have your agent call `list_available_datasets` at the start of a run. This tool returns over 40 climate and renewable energy datasets, allowing the agent to dynamically choose the best source for its current task.

Every coordinate lookup and wind yield query is executed inside a secure, ephemeral V8 container using an MCP connection on Vinkius. Your sensitive site coordinates and turbine parameters are never cached, and the generated climate files are permanently deleted after 12 hours.

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