# Acopia

> Use this tool when you need to optimize and simulate the dispatch plan of a solar PV + battery system in the Chilean electricity market. Acopia solves problems related to energy dispatch and pricing by providing deterministic optimization and optional deep reinforcement learning (DRL) capabilities. It takes in inputs such as system parameters and market data, and outputs optimized dispatch plans and simulated results.

Canonical page: https://skillsregistry.net/skills/faborubio-acopia  
JSON: https://api.skillsregistry.net/v1/skills/faborubio-acopia

## Description

MCP server for querying and simulating the dispatch plan of a solar PV + battery system in the Chilean electricity market, using deterministic optimization and optional DRL.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ze6c81aab5)
- **Repository:** <https://github.com/faborubio/acopia>

## 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": "faborubio-acopia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/faborubio-acopia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/faborubio-acopia/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