FinMind MCP
Provides Taiwan stock market data through FinMind v4 API, including daily OHLCV, monthly revenue, institutional investors, margin trading, dividends, and financial statements. Enables MCP clients like ChatGPT or Codex to query Taiwan financial datasets via simple tools.
README
FinMind MCP
FinMind MCP server for Taiwan market data.
This project wraps the FinMind v4 data API as MCP tools so ChatGPT, Codex, or other MCP clients can query Taiwan stock datasets through a consistent interface.
Features
Initial tools:
get_taiwan_stock_price— Taiwan stock daily OHLCVget_taiwan_stock_month_revenue— monthly revenueget_taiwan_stock_institutional_investors— institutional investors buy/sellget_taiwan_stock_margin_purchase_short_sale— margin purchase and short saleget_taiwan_stock_dividend— dividend dataget_taiwan_stock_financial_statement— financial statement dataget_finmind_dataset— generic FinMind dataset queryget_finmind_datalist— generic FinMind datalist query
Setup
python -m venv .venv
source .venv/bin/activate
pip install -e .
cp .env.example .env
Set your FinMind token:
export FINMIND_TOKEN="your-token"
FinMind can be called without a token, but using a token increases the official request quota.
Run
HTTP transport:
python server.py
Default port is 8000. Override with:
PORT=8787 python server.py
Stdio transport:
MCP_STDIO=1 python server.py
Example tool arguments
{
"data_id": "2330",
"start_date": "2026-01-01",
"end_date": "2026-01-31"
}
Docker
docker build -t finmind-mcp .
docker run --rm -p 8000:8000 -e FINMIND_TOKEN="$FINMIND_TOKEN" finmind-mcp
Notes
- The server uses FinMind API v4 endpoints.
FINMIND_TOKENis read from the environment and is never committed.- Tool responses are compact JSON strings with
dataset,count, anddatafields.
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