# dmoera-mcp

> dmoera-mcp — cachecarti-dmoera-mcp. Use this tool when you need to build, backtest, and deploy crypto trading strategies using AI agents, solving problems such as automated trading and strategy optimization. It takes in trading strategy parameters and outputs optimized trading models, with integration via git for version control. Ideal for use cases requiring automated crypto trading and AI-driven decision making.

Canonical page: https://skillsregistry.net/skills/cachecarti-dmoera-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cachecarti-dmoera-mcp

## Description

dMoERA Creator Studio MCP Server: build, backtest, and deploy crypto trading strategies via AI agents

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/CacheCarti/dmoera-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": "cachecarti-dmoera-mcp"
    }
  }
}
```

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