# PVGIS MCP

> Use this tool when you need to estimate photovoltaic production for a given location, solving problems related to renewable energy assessment and planning. The PVGIS MCP server takes location-based inputs and returns estimated photovoltaic production outputs, leveraging the European Commission's PVGIS API. Ideal for use in applications requiring reliable and serverless photovoltaic production estimates, such as solar panel installation planning and energy yield prediction.

Canonical page: https://skillsregistry.net/skills/maxturazzini-pvgis-mcp  
JSON: https://api.skillsregistry.net/v1/skills/maxturazzini-pvgis-mcp

## Description

MCP server that estimates photovoltaic production using the European Commission's PVGIS API, deployed on Cloudflare Workers for serverless, free-tier operation.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kf9uv7jm4v)
- **Repository:** <https://github.com/maxturazzini/pvgis-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "maxturazzini-pvgis-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maxturazzini-pvgis-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maxturazzini-pvgis-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
