Fugle MCP Server
@kevinypfan
关于 Fugle MCP Server
暂无概览
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"fugle-mcp-server": {
"command": "npx",
"args": [
"@fugle/mcp-server"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Fugle MCP Server?
Fugle MCP Server is a Model Context Protocol server that interacts with the Fugle trading system. It supports real-time and historical stock quote queries and optional trading functionality for Taiwanese securities, targeting developers integrating stock market features into AI assistants.
How to use Fugle MCP Server?
Install via npm (npx @fugle/mcp-server) or Docker (docker pull fugle/mcp-server). Configure environment variables for your broker credentials, certificate path, and optional settings, then add the server to your MCP JSON configuration as shown in the README.
Key features of Fugle MCP Server
- Real‑time stock quote queries
- Historical stock data queries
- Optional trading functionality (disabled by default)
- Supports Taishin and Fubon securities brokers
- Deployable via Docker and NPM
Use cases of Fugle MCP Server
- An AI assistant that answers real‑time stock quotes
- Automated trading workflows triggered by AI analysis
- Personal investment dashboard with both data and order execution
FAQ from Fugle MCP Server
What brokers does it support?
It supports Taishin Securities and Fubon Securities. The SDK_TYPE environment variable selects the broker (taishin or fubon, default is taishin).
What are the deployment requirements?
For NPM, Node.js must be installed. Docker can run on any platform supporting Docker. Both require valid broker certificates and credentials.
Is trading enabled by default?
No. Set the ENABLE_ORDER environment variable to true to enable trading. When disabled, only read‑only queries are possible.
What credentials are needed?
You need a digital certificate (.p12 file) from your broker, your national ID, account password, and certificate password. The exact path is set via CERT_PATH (NPM) or mounted as a bind mount (Docker).
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