# Trade It

> Use this tool when you need to execute trades on major brokerages using natural language commands, solving the problem of complex trading interfaces and enabling seamless stock, cryptocurrency, and options trading. It takes in simple trade commands as input and outputs executed trades, supporting multiple brokerages including Robinhood, E*TRADE, and Coinbase. Use Trade It in contexts where automated trading or voice-activated investing is required, such as algorithmic trading or virtual assistant integration.

Canonical page: https://skillsregistry.net/skills/tradeit  
JSON: https://api.skillsregistry.net/v1/skills/tradeit

## Description

Trade It enables AI agents to execute trades on major brokerages through natural language commands. Supports stock, cryptocurrency, and options trading across Robinhood, E*TRADE, Webull, Charles Schwab, Coinbase, and Kraken. Users connect their brokerage accounts and can execute trades using simple commands. Available as a hosted remote service with both streamable HTTP and SSE transports.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tradeit)
- **Repository:** <https://github.com/trade-it-inc/trade-it-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": "tradeit"
    }
  }
}
```

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