# mcp-pvgis

> mcp-pvgis — pipeworx-io-mcp-pvgis. Use this tool when you need to model and analyze photovoltaic (PV) systems, solving problems related to solar energy assessment and system design. It takes in inputs such as location and system specifications, and outputs performance metrics and energy yields. Ideal for use in renewable energy planning, research, and development contexts.

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

## Description

PVGIS MCP — EU Joint Research Centre PV system modeler

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-pvgis)

## 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": "pipeworx-io-mcp-pvgis"
    }
  }
}
```

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