# coinrule-mcp-ai-trading

> coinrule-mcp-ai-trading — coinrule-com-coinrule-mcp-ai-trading. Use this tool when you need to automate crypto trading strategies using natural language inputs, enabling AI assistants to manage portfolios, create and backtest strategies, and execute trades with customizable permissions. It solves problems related to manual trading, strategy optimization, and portfolio management, providing a seamless interface for AI-driven trading decisions. Ideal for use cases requiring automated trading, portfolio inspection, and strategy creation with configurable read/write permissions.

Canonical page: https://skillsregistry.net/skills/coinrule-com-coinrule-mcp-ai-trading  
JSON: https://api.skillsregistry.net/v1/skills/coinrule-com-coinrule-mcp-ai-trading

## Description

Enables AI assistants to manage crypto trading through Coinrule via natural language, including portfolio inspection, strategy creation, backtesting, and execution with configurable read/write permissions.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u8bsodc13s)
- **Repository:** <https://github.com/coinrule-com/coinrule-mcp-ai-trading>

## 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": "coinrule-com-coinrule-mcp-ai-trading"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coinrule-com-coinrule-mcp-ai-trading` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coinrule-com-coinrule-mcp-ai-trading/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