NREL Energy Data MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NREL Energy Data as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 NREL Energy Data. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in NREL Energy Data?"
)
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 NREL Energy Data MCP Server
Connect to the National Renewable Energy Laboratory (NREL) API through your AI agent and explore a vast archive of sustainable energy data and analysis tools using natural conversation.
LlamaIndex agents combine NREL Energy Data tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Alternative Fuels — List and locate alternative fuel stations (Electric, Hydrogen, E85) globally, or find the nearest one to any address.
- Solar Production — Run PVWatts® estimates to calculate the potential energy production of photovoltaic systems based on specific system configurations.
- Resource Intelligence — Access detailed solar radiation data (GHI, DNI) and check geothermal resource potential for any coordinate.
- Utility Oversight — Retrieve residential and industrial electricity rates and identify which utility companies serve a specific area.
- Incentives & Laws — Browse federal and state laws and incentives for alternative fuels and energy-efficient vehicles.
- Deep Inspection — Fetch complete metadata and station details using their unique IDs.
The NREL Energy Data MCP Server exposes 10 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 NREL Energy Data to LlamaIndex via MCP
Follow these steps to integrate the NREL Energy Data 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 10 tools from NREL Energy Data
Why Use LlamaIndex with the NREL Energy Data MCP Server
LlamaIndex provides unique advantages when paired with NREL Energy Data through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine NREL Energy Data tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain NREL Energy Data tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query NREL Energy Data, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what NREL Energy Data tools were called, what data was returned, and how it influenced the final answer
NREL Energy Data + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the NREL Energy Data MCP Server delivers measurable value.
Hybrid search: combine NREL Energy Data real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query NREL Energy Data 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 NREL Energy Data for fresh data
Analytical workflows: chain NREL Energy Data queries with LlamaIndex's data connectors to build multi-source analytical reports
NREL Energy Data MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect NREL Energy Data to LlamaIndex via MCP:
get_geothermal_resource
Check geothermal resource potential
get_nearest_stations
Find nearest fuel stations
get_pvwatts_estimates
Estimate solar energy production
get_solar_data_query
Check solar dataset availability
get_solar_resource
Get solar radiation data
get_station_details
Get specific station details
get_utility_companies
Identify local utility companies
get_utility_rates
Get average electricity rates
list_alt_fuel_stations
) in the database. List all alternative fuel stations
list_transportation_incentives
List alternative fuel incentives
Example Prompts for NREL Energy Data in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with NREL Energy Data immediately.
"Find all electric vehicle charging stations in Asheville, NC."
"Estimate solar energy production for a 5kW system at latitude 35.6, longitude -82.5."
"What are the average electricity rates for residential buildings in zip code 28801?"
Troubleshooting NREL Energy Data MCP Server with LlamaIndex
Common issues when connecting NREL Energy Data to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNREL Energy Data + LlamaIndex FAQ
Common questions about integrating NREL Energy Data 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 NREL Energy Data 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 NREL Energy Data to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.