How to Use the DNV Renewables MCP in LlamaIndex

Index high-fidelity energy data directly into your LlamaIndex knowledge base for grounded, document-aware renewable analysis.

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Connect DNV Renewables MCP to LlamaIndex

Create your Vinkius account to connect DNV Renewables to LlamaIndex 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 LlamaIndex

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Ground your LlamaIndex RAG on real climate data

Use `get_mesoscale_climate_data` to feed live, site-specific climate records into your vector store. Your index now contains precise environmental metrics instead of static text files. When you query your knowledge base, LlamaIndex pulls these actual climate values to provide grounded answers. It stops your agent from hallucinating site conditions.

Build a searchable index of renewable resources

Call `get_wind_resource_data` and map the results to your LlamaIndex nodes. Your application can now search across historical wind patterns as if they were part of your internal documentation. This makes it easy to compare resource quality across different project sites. Your vector search returns the most relevant wind data based on your specific search criteria.

Automate yield estimation lookups

Run `get_energy_yield_estimate` and index the output alongside your turbine specifications. Your agents can now answer questions about projected production using real, API-calculated yields. Keep your project documents updated by re-indexing the latest estimates whenever the underlying site parameters change. It’s a direct bridge between raw API data and your searchable project archives.

Setup guide

Set up DNV Renewables MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all DNV Renewables MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to DNV Renewables tools.",
)
response = await agent.run("List recent DNV Renewables data")

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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 LlamaIndex

Use the LlamaIndex MCP tool spec to wrap the DNV Renewables functions. Once the tools are available, you can ingest the API results directly into your vector store as part of your document pipeline.

Absolutely, the system indexes the API results as nodes. You can run semantic queries that retrieve both your internal PDF reports and the live wind metrics provided by the server.

You can trigger periodic refreshes of your index by calling the server tools again. This ensures your LlamaIndex application always reflects the latest available climate and resource data.

Data is only accessible to your authorized LlamaIndex agent. We use strict endpoint tokens to ensure that your specific site coordinates and yield estimates remain private within your local vector index.

The server provides raw climate and resource metrics, including wind speed, irradiance, and energy yield figures. LlamaIndex stores these as structured nodes, allowing for precise, data-driven retrieval.

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