# mcp-server-shioaji

> Use this tool when you need to integrate AI assistants with the Taiwanese financial market, providing access to real-time trading data and functionality through the Shioaji trading API. It solves problems related to automated trading, market analysis, and decision-making by bridging AI models with the MCP server. The tool accepts AI model requests as input and returns trading data and execution results as output, ideal for use cases involving algorithmic trading and financial analysis.

Canonical page: https://skillsregistry.net/skills/sinotrade-mcp-server-shioaji  
JSON: https://api.skillsregistry.net/v1/skills/sinotrade-mcp-server-shioaji

## Description

A Model Context Protocol (MCP) server that provides AI assistants with access to Shioaji trading API for the Taiwanese financial market.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qi6cyzu7hz)
- **Repository:** <https://github.com/Sinotrade/mcp-server-shioaji>

## 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": "sinotrade-mcp-server-shioaji"
    }
  }
}
```

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