SolarAnywhere API MCP. Audit Site Viability with Real-Time Irradiance Data
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SolarAnywhere API connects your AI agent directly to high-resolution solar irradiance data and site metadata. Use this server to check real-time Global Horizontal Irradiance (GHI) levels, audit Typical Meteorological Year (TMY) patterns for long-term potential, or list all registered sites in your catalog.
It turns complex meteorological searches into simple natural language queries for photovoltaic planning.
What your AI agents can do
Check api status
Verifies if the SolarAnywhere service is currently online and operational for data queries.
Get solar irradiance
Retrieves real-time Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) readings using coordinate pairs.
Get typical solar year
Calculates Typical Meteorological Year (TMY) solar data to estimate the long-term energy potential for a specific location.
Use get_solar_irradiance to fetch current Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) readings for specific coordinates.
Run get_typical_solar_year to analyze Typical Meteorological Year (TMY) data, which assesses the expected annual performance of a site.
Execute list_solar_sites to pull an updated manifest of every solar asset currently tracked in your SolarAnywhere account.
Run check_api_status to confirm that the entire solar data pipeline is online and ready for use.
Ask AI about this MCP
Supported MCP Clients
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SolarAnywhere API: 4 Tools for Solar Data Analysis
These tools let your AI client run specific solar queries—checking status, getting live irradiance, modeling yearly data, and listing assets.
019d8482check api status
Verifies if the SolarAnywhere service is currently online and operational for data queries.
019d8482get solar irradiance
Retrieves real-time Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) readings using coordinate pairs.
019d8482get typical solar year
Calculates Typical Meteorological Year (TMY) solar data to estimate the long-term energy potential for a specific location.
019d8482list solar sites
Returns a complete list of all registered solar sites and their metadata stored in your SolarAnywhere account.
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What you can do with this MCP connector
This API gives your agent direct access to high-resolution solar irradiance data and site metadata from SolarAnywhere. You're building out a photovoltaic planning system, and this server handles the complex meteorological searches so you don't have to touch any technical portals. Your AI client uses four specific tools to give you full control over site auditing and energy research.
First, you can confirm connectivity by running check_api_status. This simply verifies that the entire solar data pipeline is online and ready for actual queries. Next, when you need current metrics, use get_solar_irradiance to pull real-time Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) readings. You just feed it a pair of coordinates, and it spits out the immediate energy density data for that spot.
For long-term planning, you'll run get_typical_solar_year. This tool doesn't give you today's numbers; instead, it calculates Typical Meteorological Year (TMY) solar data. TMY is how experts estimate a site's expected annual performance by modeling historical conditions over an entire year—it's crucial for sizing equipment and forecasting long-term energy potential at any given location.
If you need to audit your existing assets, use list_solar_sites. This pulls a complete manifest of every solar asset registered in your account. It gives you all the site metadata associated with those projects, letting you keep an accurate inventory of everything tracked by SolarAnywhere. These functions—get_solar_irradiance, get_typical_solar_year, and list_solar_sites—let your agent work together: it can check operational status, pull real-time metrics for immediate decisions, model decades-long performance using TMY data, and maintain a running list of all project sites.
You're not just querying data; you're making complex solar intelligence accessible through simple natural language prompts.
How SolarAnywhere API MCP Works
- 1 First, subscribe to this server on Vinkius and provide your unique SolarAnywhere API Key.
- 2 Next, tell your AI client the task (e.g., 'Check GHI for coordinates X, Y').
- 3 The agent executes the necessary tool call (
get_solar_irradiance) and returns the structured solar data directly to you.
The bottom line is: it lets your AI client act as a real-time solar consultant by running specialized queries against large meteorological datasets.
Who Is SolarAnywhere API MCP For?
Solar Engineers and Renewable Energy Developers use this when they're tired of switching between GIS software, proprietary portals, and spreadsheets just to check if a site is viable. They need precise, immediate data—real-time irradiance or TMY averages—to prove ROI before spending millions on development.
Uses get_solar_irradiance to validate site performance against current weather conditions and checks the API status using check_api_status.
Runs get_typical_solar_year on candidate locations to model long-term energy yields, comparing potential across multiple sites listed via list_solar_sites.
Asks the agent general questions about regional solar assets and pulls reports using natural language prompts that trigger site audits or irradiance checks.
What Changes When You Connect
- Get instant, accurate irradiance data. Instead of manually inputting coordinates into a web portal and waiting for the chart to load, simply ask your agent to run
get_solar_irradianceand get GHI/DNI numbers immediately. - Model long-term performance with TMY data. You don't have to guess at annual output. Use
get_typical_solar_yearto baseline solar potential for a site, which is critical for investor reports. - Keep track of your assets in one place. Running
list_solar_sitesgives you an immediate manifest of every registered project location without having to navigate complex account dashboards. - Verify data integrity first. Before running any major analysis, check the system health by calling
check_api_status. This confirms the underlying solar data pipeline is functional and reliable. - Automate cross-checks. You can combine tools—for instance, using
list_solar_sitesto get a list of coordinates, then feeding those intoget_solar_irradiancefor immediate real-time checks across the whole portfolio.
Real-World Use Cases
Evaluating an unlisted candidate site
A developer finds a potential site but has never logged it into their system. They ask their agent to 'Check solar potential for these coordinates.' The agent runs get_solar_irradiance and immediately delivers the real-time GHI and DNI metrics, allowing an instant go/no-go decision without manual data fetching.
Auditing a regional fleet
An operations lead needs to report on 50 different installed solar assets. They first use list_solar_sites to get the coordinates, then they feed that list into the agent which runs targeted queries using get_solar_irradiance across all of them for a single dashboard view.
Comparing historical vs. current data
A project manager needs to know if a site's current output is normal. They run get_typical_solar_year for the long-term baseline, and then use get_solar_irradiance to compare that against today's real-time metrics. This gives them immediate variance reporting.
Debugging a data pipeline failure
The team runs an analysis and gets garbage data. Before starting the full query, they first call check_api_status. If the status is 'Operational,' they know the problem lies in their input parameters, not the service itself.
The Tradeoffs
Assuming site data is always current
Running an analysis using only get_typical_solar_year and assuming that long-term averages predict today's performance. This misses immediate weather fluctuations.
→
Always complement TMY planning with a real-time check. After running get_typical_solar_year, follow up by calling get_solar_irradiance to validate the current, actual resource availability.
Ignoring system health checks
Trying to pull data using list_solar_sites and failing due to a temporary API outage. You waste time troubleshooting bad inputs.
→
Always start with a simple check_api_status. If the status check fails, you know immediately that the issue is external or system-wide, saving time.
Mixing up asset lists and raw data
Using list_solar_sites to get coordinates, but then trying to run a query without specifying which site's metadata you want. The tool can't guess your intent.
→
After running list_solar_sites, reference the returned asset ID or name in your subsequent calls to ensure the agent knows exactly which resource pool to analyze.
When It Fits, When It Doesn't
Use this server if your core need is validating solar energy resources—specifically irradiance metrics, long-term potential (TMY), or managing an existing catalog of physical assets. The tools are perfect for initial site screening and technical feasibility studies.
Don't use it if your problem involves financial modeling, tax code compliance, or grid interconnection costs. These require external data sources (like utility rate databases) that this API doesn't provide. For instance, while get_solar_irradiance gives you W/m², it won't tell you the cost to connect those watts to the grid.
If your workflow needs both resource data and a way to track physical assets, run list_solar_sites first. If you just need to validate if the system is working before anything else, start with check_api_status. It's fundamentally a technical auditing tool.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SolarAnywhere. 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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manual solar data gathering takes forever.
Today, assessing a new site means logging into the meteorological service portal. You search by coordinates, then you select the correct time range (e.g., 20-year average), and finally, you download a massive spreadsheet containing GHI, DNI, and temperature metrics. It takes fifteen minutes of clicking through tabs just to get basic numbers.
With this MCP server, your AI agent handles it all. You tell it the coordinates and the data type (e.g., 'Get TMY for this location'). The agent executes `get_typical_solar_year` and returns the structured data you need—no portals, no downloads, just clean metrics.
SolarAnywhere API MCP Server: Get real-time irradiance data.
Before this server, checking current site performance meant calling an external service and waiting for a manual readout. If the local conditions changed, you had to repeat the process entirely—a huge time sink for operations teams.
Now, running `get_solar_irradiance` is instant. You ask your agent for real-time data, and it delivers the GHI and DNI values immediately. It's a single prompt that replaces multiple manual data pulls.
Common Questions About SolarAnywhere API MCP
How do I check if the SolarAnywhere API is working before querying site data? +
Run check_api_status. This tool confirms the entire service pipeline's health. If it returns a 'failed' status, you know immediately that any subsequent query using other tools will fail too.
Can I use list_solar_sites to find coordinates for an old project? +
Yes. list_solar_sites provides the manifest of all registered sites in your account, giving you the asset metadata and coordinate data necessary to run other queries.
What's the difference between get_solar_irradiance and get_typical_solar_year? +
Irradiance is real-time (current day) data, giving you immediate metrics. TMY uses historical averages to predict long-term energy potential for a site.
Do I need an API key every time I run get_solar_irradiance? +
The server handles the authentication using the API Key you provide during setup. You just have to include the coordinates in your prompt; the agent manages the key.
What format does get_solar_irradiance require for latitude and longitude? +
It needs both coordinates in standard decimal degree format. You must provide the precise latitude and longitude pairs to get real-time data for a specific spot.
How can I use list_solar_sites results with get_solar_irradiance? +
Your agent first calls list_solar_sites to pull the site catalog. Then, it takes the coordinates from that list and feeds them directly into get_solar_irradiance for real-time performance checks.
Does get_solar_irradiance return temperature or only irradiance data? +
It returns more than just irradiance; it also pulls in relevant meteorological data like ambient temperature. This helps you assess the full operating environment for that location.
When should I use get_typical_solar_year instead of checking live conditions? +
Use get_typical_solar_year when planning long-term feasibility or needing monthly averages. This provides historical context, whereas get_solar_irradiance gives you what's happening right now.
How do I find my SolarAnywhere API Key? +
Log in to your SolarAnywhere account, and you will find your API Key in your dashboard or profile settings. Copy and paste it below.
What irradiance parameters are provided? +
The API provides Global Horizontal Irradiance (GHI), Direct Normal Irradiance (DNI), and Diffuse Horizontal Irradiance (DHI) metadata.
Can the agent show historical typical year data? +
Yes. The get_typical_solar_year tool retrieves TMY data for any coordinate pair to assist in long-term performance auditing.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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