Solar Potential SkillSolar Potential Skill

OnlineCredit Usage:1 per callTool:SolarPotentialSkill

The tool

Give your agent solar yield estimates. Call it as an MCP tool to return usable sunlight hours and best panel direction for any coordinates.

Once your client is connected to the VerveKit MCP server, this appears in its tool list as SolarPotentialSkill. It is read-only and open-world: it fetches, it never mutates anything on your side, so most clients will call it without asking you to confirm.

Tool call
{
  "name": "SolarPotentialSkill",
  "arguments": {
    "lat": "37.7749",
    "lon": "-122.4194"
  }
}

What that looks like in a conversation

You don't name the tool — the model picks it. Asking about 37.7749 in the terms this source covers is enough for it to reach for SolarPotentialSkill on its own.

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth — the client opens a browser once and there is no key to paste into a config file.

Client config
{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}
Endpoint
https://api.vervekit.com/v1/mcp

Per-client setup — Claude Desktop, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made.

ArgumentTypeExampleDescription
latRequirednumber37.7749The latitude of the location
lonRequirednumber-122.4194The longitude of the location

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client can read fields without parsing prose. status is "ok" on success and error is null; a null field means the value wasn't available for that input, not that the call failed.

Result
{
  "status": "ok",
  "error": null,
  "data": {
    "coordinates": {
      "latitude": 37.7749,
      "longitude": -122.4194
    },
    "usableHours": {
      "avgDailyUsableSunlightHours": 12.19,
      "yearlyUsableSunlightHoursRaw": 4448,
      "adjustedYearlyUsableSunlightHours": 1557
    },
    "bestDirection": "South",
    "cloudFactor": 0.35,
    "disclaimer": "This is a rough estimate based on coordinates and general climate patterns. For precise solar potential, consider local weather patterns, obstructions, and professional assessments."
  }
}

Fields

Fields marked Premium need a paid plan. On a plan without them the key is absent rather than wrong, so a model never reasons over a substituted value.
FieldTypeExampleDescription
coordinatesobject{…}
coordinates.latitudenumber37.7749Latitude coordinate of the location analyzed
coordinates.longitudenumber-122.4194Longitude coordinate of the location analyzed
usableHoursobject{…}
usableHours.avgDailyUsableSunlightHoursnumber12.19Average daily usable sunlight hours for the location
usableHours.yearlyUsableSunlightHoursRawPremiumnumber4448Total yearly usable sunlight hours without adjustments
usableHours.adjustedYearlyUsableSunlightHoursPremiumnumber1557Adjusted yearly usable sunlight hours accounting for clouds
bestDirectionstringSouthOptimal solar panel direction (e.g., South, Southwest)
cloudFactorPremiumnumber0.35Cloud cover factor between 0 and 1 reducing solar potential
disclaimerstringThis is a rough estimate based on coordinates and general climate patterns. For precise solar potential, consider local weather patterns, obstructions, and professional assessments.Important disclaimer about estimate accuracy and limitations

Failure modes

Errors come back as tool errors with a sentence the model can act on, not a bare status code.

StatusWhat it means
400 / 422The arguments didn't validate. The message names the offending one.
401The OAuth session is invalid or expired — reconnect the server.
403Out of credits. Not a bad key — the month's allowance is spent.
404This skill isn't part of VerveKit. Check the catalog.
429Brief rate limit. Retrying after a moment succeeds.

Other ways to use Solar Potential Skill

Set up Solar Potential Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an X-API-Key header, with SDKs for Node, Python and .NET.APIVerveReference →
Use it in Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheetsReference →
Ground an agent on itA cited, machine-checkable fact your model can't produce on its own.VerveContextReference →

Frequently asked questions

Do I have to tell the agent to use SolarPotentialSkill?

No. The tool's name and description are in the model's context once the server is connected, so it selects the tool when the question calls for it. Naming it explicitly works too and is useful when you want to force the call.

Does connecting the server expose every tool at once?

Yes — one connection lists the whole VerveKit catalog. Clients with a tool budget can usually filter the list; the credit cost is per call, so an unused tool costs nothing.

What does a call cost?

1 credit each time the tool actually runs. A model that reasons about the tool without calling it costs nothing.

Is there a REST version of this?

Yes — the same source is available as a plain HTTPS endpoint on APIVerve, linked above. Same data, same credits, same account.

What's Next?

Continue your journey with these recommended resources

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