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NREL Solar Resource Connector for AI agents.

2 live capabilities

Analyze solar irradiance and NSRDB data for renewable energy site assessments.

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AI Agent

Why people use NREL Solar Resource

NREL Solar Resource for Renewable Energy Site Assessments

With this Connector, you just tell your agent where you want to look. It queries the NREL API for you and pulls back the average DNI and GHI metrics instantly. You go from manual data hunting to getting the numbers you need in a single conversation.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get instant access to official US solar data without writing a single line of code.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Site Feasibility Study

    An analyst asks for the solar potential of a farm in rural Nevada to see if it meets project goals using get_solar_resource.

  2. Real-world use case 02

    Research Data Sourcing

    A researcher needs a high-resolution satellite dataset for a specific county and uses query_nsrdb_data to find it.

  3. Real-world use case 03

    Engineering Specs

    An engineer needs to know the average GHI for a specific latitude to calculate panel tilt for a new installation.

Complete set · 2capabilities

The complete NREL Solar Resource capability set.

These are the exact actions your AI can choose when you ask it to work with NREL Solar Resource.

Capability set01 / 01

01—02

2 capabilities in this set.

Part of 2 available through NREL Solar Resource.

  1. 01 Capability

    Get solar resource

    The get_solar_resource capability pulls average solar irradiance data for a specific location. This helps you see how much sun hits a site on a typical day.

  2. 02 Capability

    Query nsrdb data

    The query_nsrdb_data capability finds the closest datasets in the National Solar Radiation Database. You can search by address, coordinates, or geometry.

Set up in minutes

One URL. Then ask NREL Solar Resource to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use NREL Solar Resource from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_vozoJPfyvOpeLBHn6HylTeaw9PYPiArrhRiAuFug/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it NREL Solar Resource, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable NREL Solar Resource for the conversation.

Where the request belongs

Work NREL Solar Resource can move forward.

Built around the request

This is for energy professionals who need to make fast, data-backed decisions about solar viability without the friction of manual data scraping.

01

Energy Analyst

Assessing site feasibility for large-scale solar projects in the field.

02

Climate Researcher

Finding historical radiation data for environmental and energy studies.

03

Solar Engineer

Getting precise irradiance metrics for solar installation planning.

Bring your own AI

Change the model, client or framework. Keep NREL Solar Resource connected.

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Before you connect

Questions about NREL Solar Resource.

The practical details behind the request, access and result.

What kind of solar data can I get with the NREL Solar Resource MCP?

You can get average solar irradiance metrics like Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI) for any US location.

Can I use the NREL Solar Resource MCP to find the best spot for solar panels?

Yes, it helps you assess solar potential by retrieving data for specific addresses or coordinates, which is perfect for site feasibility studies.

Does the NREL Solar Resource MCP include historical radiation data?

It allows you to query the National Solar Radiation Database, which contains historical data for various US regions.

Is the data from the NREL Solar Resource MCP accurate for research?

Yes, it pulls directly from the National Renewable Energy Laboratory, making it a reliable source for climate and energy studies.

Can I search for solar data using a street address?

Yes, the Connector can find the nearest datasets based on a specific address, latitude, longitude, or even a geometry description.

How does the NREL Solar Resource MCP help energy analysts?

It speeds up the project assessment phase by providing quick access to solar irradiance metrics without the need for manual data scraping.

How do I get solar irradiance for a specific coordinate?

Use the get_solar_resource capability by providing the latitude and longitude. The agent will return average DNI, GHI, and Tilt at Latitude data for that location.

Can I search for solar data using a physical address instead of coordinates?

Yes! The query_nsrdb_data capability allows you to provide an address string. The system will locate the nearest NSRDB datasets associated with that address.

What types of data sources can I filter by in the NSRDB?

When using query_nsrdb_data, you can use the type parameter to filter results by 'satellite' or 'station' data sources.

One connection away

Give your agent a direct line to NREL Solar Resource.

Connect NREL Solar Resource once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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