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 OHLCV

• get_taiwan_stock_month_revenue — monthly revenue

• get_taiwan_stock_institutional_investors — institutional investors buy/sell

• get_taiwan_stock_margin_purchase_short_sale — margin purchase and short sale

• get_taiwan_stock_dividend — dividend data

• get_taiwan_stock_financial_statement — financial statement data

• get_finmind_dataset — generic FinMind dataset query

• get_finmind_datalist — generic FinMind datalist query

Related MCP server: deepq-financial-toolkit

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_TOKEN is read from the environment and is never committed.

• Tool responses are compact JSON strings with dataset, count, and data fields.