NREL Energy Data MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NREL Energy Data through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="NREL Energy Data Assistant",
instructions=(
"You help users interact with NREL Energy Data. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from NREL Energy Data"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from NREL Energy Data through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NREL Energy Data, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the NREL Energy Data MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from NREL Energy Data
Why Use OpenAI Agents SDK with the NREL Energy Data MCP Server
OpenAI Agents SDK provides unique advantages when paired with NREL Energy Data through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
NREL Energy Data + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the NREL Energy Data MCP Server delivers measurable value.
Automated workflows: build agents that query NREL Energy Data, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries NREL Energy Data, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through NREL Energy Data tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query NREL Energy Data to resolve tickets, look up records, and update statuses without human intervention
NREL Energy Data MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect NREL Energy Data to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting NREL Energy Data to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
NREL Energy Data + OpenAI Agents SDK FAQ
Common questions about integrating NREL Energy Data MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.