NREL Solar Resource MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 2 tools to Get Solar Resource and Query Nsrdb Data

Name: NREL Solar Resource
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NREL Solar Resource 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 for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The NREL Solar Resource MCP Server for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

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 Solar Resource Assistant",
            instructions=(
                "You help users interact with NREL Solar Resource. "
                "You have access to 2 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from NREL Solar Resource"
        )
        print(result.final_output)

asyncio.run(main())

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 NREL Solar Resource MCP Server

Connect your AI agent to the National Renewable Energy Laboratory (NREL) Solar Resource API to analyze solar potential and access historical radiation data through natural conversation.

The OpenAI Agents SDK auto-discovers all 2 tools from NREL Solar Resource through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NREL Solar Resource, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Solar Irradiance — Retrieve average solar irradiance data including Direct Normal Irradiance (DNI), Global Horizontal Irradiance (GHI), and Tilt at Latitude for specific coordinates.
NSRDB Queries — Search the National Solar Radiation Database for the nearest datasets based on latitude/longitude, address, or Well-Known Text (WKT) geometry.
Data Sourcing — Identify specific satellite or station-based datasets for renewable energy research and site assessment.

The NREL Solar Resource MCP Server exposes 2 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 NREL Solar Resource tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to NREL Solar Resource through Vinkius, your AI agent gets direct access to every tool listed below — spanning solar-irradiance, renewable-energy, climate-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get solar resource on NREL Solar Resource

Get average solar irradiance data for a location

query

Query nsrdb data on NREL Solar Resource

Query nearest NSRDB datasets for a location

Connect NREL Solar Resource to OpenAI Agents SDK via MCP

Follow these steps to wire NREL Solar Resource into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 2 tools from NREL Solar Resource

Why Use OpenAI Agents SDK with the NREL Solar Resource MCP Server

OpenAI Agents SDK provides unique advantages when paired with NREL Solar Resource 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 Solar Resource + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the NREL Solar Resource MCP Server delivers measurable value.

Automated workflows: build agents that query NREL Solar Resource, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries NREL Solar Resource, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through NREL Solar Resource tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query NREL Solar Resource to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for NREL Solar Resource in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NREL Solar Resource immediately.

"What is the average solar irradiance for latitude 34.05 and longitude -118.24?"

"Find the nearest NSRDB datasets for 'Golden, Colorado'."

"Query satellite-based NSRDB data for the coordinates 40.71, -74.00."

Troubleshooting NREL Solar Resource MCP Server with OpenAI Agents SDK

Common issues when connecting NREL Solar Resource to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

NREL Solar Resource + OpenAI Agents SDK FAQ

Common questions about integrating NREL Solar Resource MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use 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?

Yes. Pass a list of 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?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Explore More MCP Servers

View all →

Document360

7 tools

Manage knowledge bases via Document360 — list project versions, handle categories and articles, search content, and track analytics directly from any AI agent.

Grafana k6 Cloud (Load Testing)

10 tools

Manage load tests via k6 Cloud — run tests, monitor performance metrics, and audit thresholds.

Global Wine Score

6 tools

Access aggregated wine ratings from the world's top critics — normalized scores, vintage analysis, and top-rated wine discovery through natural conversation.

Pipedream

7 tools

Manage Pipedream serverless workflows, sources, webhooks, and raw event data natively via AI agents.