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DNV Renewables MCP Server for Google ADK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add DNV Renewables as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="dnv_renewables_agent",
    instruction=(
        "You help users interact with DNV Renewables "
        "using 11 available tools."
    ),
    tools=[mcp_tools],
)
DNV Renewables
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Google ADK natively supports DNV Renewables as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 11 tools from DNV Renewables via MCP

Why Use Google ADK with the DNV Renewables MCP Server

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

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with DNV Renewables

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine DNV Renewables tools with BigQuery, Vertex AI, and Cloud Functions

DNV Renewables + Google ADK Use Cases

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

01

Enterprise data agents: ADK agents query DNV Renewables and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine DNV Renewables tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query DNV Renewables regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including DNV Renewables

DNV Renewables MCP Tools for Google ADK (11)

These 11 tools become available when you connect DNV Renewables to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

DNV Renewables + Google ADK FAQ

Common questions about integrating DNV Renewables MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect DNV Renewables to Google ADK

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