K
koreal6803/finlab-ai
Backtest Taiwan and US stocks on real market data
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
远端端点（Claude Desktop / Cursor / Windsurf 共用 mcpServers）
{
"mcpServers": {
"koreal6803-finlab-ai": {
"url": "https://mcp.finlab.finance/mcp"
}
}
}把这段粘进 Claude Desktop / Cursor 的 mcpServers 配置即可。端点来自公开证据，我们没有替你安装或托管它。 官方 Registry 记录：这个端点没有列出任何请求头。这不等于免密 —— 以项目文档为准。
VS Code（.vscode/mcp.json —— 键名是 servers，远程要 type: http）
{
"servers": {
"koreal6803-finlab-ai": {
"type": "http",
"url": "https://mcp.finlab.finance/mcp"
}
}
}VS Code 的配置文件和另外三家不同：顶层键是 <code>servers</code>，远程端点还要写 <code>"type": "http"</code>。复制到 .vscode/mcp.json。
Claude Code（命令行）
claude mcp add --transport http koreal6803-finlab-ai https://mcp.finlab.finance/mcp
Claude Code 不收 JSON 文件，用这条命令直接加。
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"koreal6803-finlab-ai": {
"command": "npx",
"args": ["skills"]
}
}
}解析自我们于 2026-11-06 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"koreal6803-finlab-ai": {
"command": "npx",
"args": ["skills"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio koreal6803-finlab-ai -- npx skills
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx skills
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx skills。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-11-05；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# FinLab AI
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Let AI discover your next alpha.
FinLab AI is an official product of FinLab. FinLab official website: https://finlab.finance
Backtest Taiwan and U.S. stocks from Claude Code, Codex or Gemini CLI: your AI gets real market data and the FinLab backtest engine, with no scraping or backtest code of your own.
用 Claude Code、Codex 回測台股：AI 直接讀還原股價、月營收、財報、三大法人資料，用 FinLab 回測引擎驗證策略。
## Installation
bash
npx skills add koreal6803/finlab-ai --skill finlab -g -y
This installs the skill for Claude Code, Codex, Cursor and other tools that read Agent Skills, for every project on this machine. Or use your tool's own plugin command:
| Tool | Command |
| Claude Code | /plugin install finlab-plugin --marketplace koreal6803/finlab-ai |
| Codex | codex plugin marketplace add koreal6803/finlab-ai, then codex plugin add finlab-plugin@finlab-ai |
| Cursor | Customize > From GitHub Repository > koreal6803/finlab-ai |
Then ask your AI: "Backtest a Taiwan stock strategy that buys the strongest monthly revenue growth." The first run asks you to sign in to FinLab once in your browser, which creates a free account with a 7-day full trial, no credit card needed.
### What it does on your machine
The skill is documentation: it has no hooks and no bundled programs. It tells your AI tool to install the finlab Python package with uv, sign in with python -m finlab login, which opens your browser, and download market data from FinLab. Strategy code runs on your machine, and nothing is uploaded unless you ask for it. It also documents broker order APIs, and tells your AI to show you a preview and wait for your confirmation before placing any real order.
## MCP Server
A hosted, read-only MCP server (streamable HTTP) is available — no install required:
bash
claude mcp add --transport http finlab https://mcp.finlab.finance/mcp
Tools: liststrategies, getstrategy (with Python code), getstockevidence, getdatacatalog, getfinlabdocs (this skill's docs, always in sync with main), howtostart. Listed on the MCP Registry as io.github.koreal6803/finlab-ai (see server.json). The old finlab-ai.koreal6803.workers.dev endpoint is retired.
## Documentation
| Document | Content |
| Data Reference | 900+ columns across 80+ tables |
| Backtesting Reference | sim() API, resampling, metrics |
| Factor Examples | 60+ complete strategy examples |
FinLab AI is an official product of FinLab. FinLab official website: https://finlab.finance
Backtest Taiwan and U.S. stocks from Claude Code, Codex or Gemini CLI: your AI gets real market data and the FinLab backtest engine, with no scraping or backtest code of your own.
用 Claude Code、Codex 回測台股：AI 直接讀還原股價、月營收、財報、三大法人資料，用 FinLab 回測引擎驗證策略。
## Installation
bash
npx skills add koreal6803/finlab-ai --skill finlab -g -y
This installs the skill for Claude Code, Codex, Cursor and other tools that read Agent Skills, for every project on this machine. Or use your tool's own plugin command:
| Tool | Command |
| Claude Code | /plugin install finlab-plugin --marketplace koreal6803/finlab-ai |
| Codex | codex plugin marketplace add koreal6803/finlab-ai, then codex plugin add finlab-plugin@finlab-ai |
| Cursor | Customize > From GitHub Repository > koreal6803/finlab-ai |
Then ask your AI: "Backtest a Taiwan stock strategy that buys the strongest monthly revenue growth." The first run asks you to sign in to FinLab once in your browser, which creates a free account with a 7-day full trial, no credit card needed.
### What it does on your machine
The skill is documentation: it has no hooks and no bundled programs. It tells your AI tool to install the finlab Python package with uv, sign in with python -m finlab login, which opens your browser, and download market data from FinLab. Strategy code runs on your machine, and nothing is uploaded unless you ask for it. It also documents broker order APIs, and tells your AI to show you a preview and wait for your confirmation before placing any real order.
## MCP Server
A hosted, read-only MCP server (streamable HTTP) is available — no install required:
bash
claude mcp add --transport http finlab https://mcp.finlab.finance/mcp
Tools: liststrategies, getstrategy (with Python code), getstockevidence, getdatacatalog, getfinlabdocs (this skill's docs, always in sync with main), howtostart. Listed on the MCP Registry as io.github.koreal6803/finlab-ai (see server.json). The old finlab-ai.koreal6803.workers.dev endpoint is retired.
## Documentation
| Document | Content |
| Data Reference | 900+ columns across 80+ tables |
| Backtesting Reference | sim() API, resampling, metrics |
| Factor Examples | 60+ complete strategy examples |
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/koreal6803-finlab-ai/)
- 来源
- awesome · https://github.com/koreal6803/finlab-ai
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