DNV Renewables MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DNV Renewables as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to DNV Renewables. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in DNV Renewables?"
)
print(response)
asyncio.run(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.
LlamaIndex agents combine DNV Renewables tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the DNV Renewables MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from DNV Renewables
Why Use LlamaIndex with the DNV Renewables MCP Server
LlamaIndex provides unique advantages when paired with DNV Renewables through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DNV Renewables tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DNV Renewables tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DNV Renewables, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DNV Renewables tools were called, what data was returned, and how it influenced the final answer
DNV Renewables + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DNV Renewables MCP Server delivers measurable value.
Hybrid search: combine DNV Renewables real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DNV Renewables to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DNV Renewables for fresh data
Analytical workflows: chain DNV Renewables queries with LlamaIndex's data connectors to build multi-source analytical reports
DNV Renewables MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect DNV Renewables to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting DNV Renewables to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDNV Renewables + LlamaIndex FAQ
Common questions about integrating DNV Renewables MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect DNV Renewables with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DNV Renewables to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.