# ExergyNet

> Use this tool when you need to optimize thermodynamic systems or analyze energy efficiency in complex environments. ExergyNet solves problems related to energy settlement and thermodynamic computation, providing autonomous agents with accurate and reliable data. It takes in system parameters and outputs optimized energy solutions, making it ideal for use cases in fields such as engineering, architecture, and sustainability.

Canonical page: https://skillsregistry.net/skills/ezumba-exergynet-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ezumba-exergynet-mcp-server

## Description

ExergyNet thermodynamic compute settlement for autonomous agents.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u5ritm8zb7)
- **Repository:** <https://github.com/ezumba/exergynet-mcp-server>

## 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": "ezumba-exergynet-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ezumba-exergynet-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ezumba-exergynet-mcp-server/pull`

---
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