MCP TWFood
An MCP (Model Context Protocol) server for twfood.cc — Taiwan's agricultural wholesale market real-time price data platform. Provides 6 AI-callable tools to search products and query daily, weekly, monthly, yearly trade data and cross-market price comparisons.
Features
- 6 MCP tools — Search products, query trade data at 4 time granularities, cross-market comparison
- No authentication — Uses public twfood.cc APIs, no credentials needed
- Historical data — Yearly summaries back to 1996
- 16+ wholesale markets — Cross-market volume and price comparison
- 2,000+ products — Vegetables, fruits, flowers, imported items
Prerequisites
- Python 3.10+
- No API credentials required (public data)
Installation
From PyPI
pip install mcp-twfood
Using uvx (no install)
uvx mcp-twfood
From source
git clone https://github.com/asgard-ai-platform/mcp-twfood.git
cd mcp-twfood
uv venv && source .venv/bin/activate
uv pip install -e .
Quick Start
# Test connection
python scripts/auth/test_connection.py
# Run all tool tests
python tests/test_all_tools.py
# Start MCP server
python mcp_server.py
Usage
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"twfood": {
"command": "python",
"args": ["/path/to/mcp-twfood/mcp_server.py"],
"env": {
"PYTHONPATH": "/path/to/mcp-twfood"
}
}
}
}
Claude Code
The .mcp.json file is auto-discovered when you open the project directory.
Cursor
Add to Cursor MCP settings:
{
"mcpServers": {
"twfood": {
"command": "python",
"args": ["/path/to/mcp-twfood/mcp_server.py"],
"env": {
"PYTHONPATH": "/path/to/mcp-twfood"
}
}
}
}
Usage Examples
"What was last week's cabbage price?"
You: 我想知道上週高麗菜的批發價格
AI calls:
search_products(keyword="高麗菜")
Found item code LA1. Then:
get_weekly_trades(item_code="LA1", start_date="2026/03/24")
Result: SUCCESS — Last week (week 14) cabbage averaged 6.47 TWD/kg, total volume 4,041,510 kg. Price has been gradually rising from 5.76 in early March.
"Compare cabbage prices across all wholesale markets"
You: 全台各批發市場的高麗菜行情比較
AI calls:
get_market_history(item_code="LA1")
Result: SUCCESS — Returns volume and price time series for 17 markets. For example, 台北二 averages 7.2 TWD/kg while 西螺鎮 averages 5.1 TWD/kg — regional price differences clearly visible.
"Daily pineapple prices for March"
You: 三月份金鑽鳳梨每天的批發價多少?
AI calls:
get_daily_trades(item_code="B2", start_date="2026/03/01")
Result: SUCCESS — 33 daily records. March 1: avg 28.02, high 36.75, low 20.02 TWD/kg with volume 126,913 kg. Prices fluctuated between 20–37 TWD/kg range throughout the month.
"How have strawberry prices changed over the years?"
You: 草莓歷年來的價格變化?
AI calls:
get_yearly_trades(item_code="N1")
Result: SUCCESS — 31 years of data since 1996. Prices rose from ~40 TWD/kg in the early 2000s to 80–98 TWD/kg in recent years (2022: 97.8, 2023: 80.73, 2024: 81.86, 2025: 94.23 TWD/kg).
"Monthly banana market trends"
You: 香蕉近一年的月度走勢
AI calls:
get_monthly_trades(item_code="A1", start_date="2025/04/01")
Result: SUCCESS — 12 monthly summaries showing seasonal price and volume patterns. Useful for understanding supply cycles and planning purchasing.
"What pineapple varieties are available?"
You: 有哪些鳳梨品種?
AI calls:
search_products(keyword="鳳梨")
Result: SUCCESS — Found 7 varieties: 鳳梨-開英 (B1), 鳳梨-金鑽鳳梨 (B2), 鳳梨-香水鳳梨 (B3), 鳳梨-鳳梨花 (B4), 鳳梨-蜜鳳梨 (B5), 鳳梨-其他 (B9), plus 釋迦-鳳梨釋迦 (32).
"Is garlic expensive right now?"
You: 最近蒜頭貴不貴?幫我查一下
AI calls:
search_products(keyword="蒜頭")
Found 大蒜-蒜頭 with code SG5. Then:
get_daily_trades(item_code="SG5", start_date="2026/03/01")
Result: SUCCESS — Returns daily prices so you can compare current prices against recent trends and decide whether to buy now or wait.
"Which market has cheapest cabbage?"
You: 哪個批發市場的高麗菜最便宜?
AI calls:
get_market_history(item_code="LA1")
Result: SUCCESS — AI analyzes the price time series across 17 markets and identifies the markets with consistently lower prices. Southern and central markets (e.g., 西螺鎮, 溪湖鎮) tend to have lower prices than 台北二.
Tools Reference
| Tool | Description | Parameters |
|---|---|---|
search_products |
Search 2,000+ products by name or code | keyword |
get_daily_trades |
Daily trade data (volume, avg/high/low price) | item_code, start_date |
get_weekly_trades |
Weekly trade summaries | item_code, start_date |
get_monthly_trades |
Monthly trade summaries | item_code, start_date |
get_yearly_trades |
Yearly trade summaries (back to 1996) | item_code |
get_market_history |
Cross-market volume & price comparison (~17 markets) | item_code |
ItemCode Reference
| Category | Prefix | Example |
|---|---|---|
| Leafy vegetables | LA |
LA1 (Cabbage/高麗菜) |
| Legumes | FB |
FB1 |
| Seasonings | SA |
SA3 |
| Vegetable fruits | FJ |
FJ3 |
| Stem vegetables | SB |
SB2 |
| Fruits | Various | A1 (Banana), B2 (Pineapple), P1 (Guava), N1 (Strawberry) |
| Roses | FR |
FR102 |
| Imported roses | IR |
IR101 |
Use search_products to find the exact item code for any product.
Architecture
stdio (JSON-RPC 2.0)
→ mcp_server.py (entry point)
→ app.py (FastMCP singleton)
→ tools/twfood_tools.py (@mcp.tool() — 6 tools)
→ connectors/rest_client.py (HTTP GET with retry)
→ auth/none.py (no auth — public API)
→ config/settings.py (twfood.cc endpoints)
Publishing to PyPI
This project uses GitHub Actions for automated PyPI publishing.
Setup (one-time)
-
PyPI Trusted Publisher — Go to pypi.org/manage/account/publishing and add:
- PyPI project name:
mcp-twfood - Owner:
asgard-ai-platform - Repository:
mcp-twfood - Workflow name:
publish.yml - Environment name:
pypi
- PyPI project name:
-
GitHub Environment — Repo Settings > Environments > New environment named
pypi
Release
# Tag and create release — triggers publish workflow
gh release create v0.1.0 --title "v0.1.0 - Initial Release" --notes "Initial release with 6 tools for Taiwan agricultural wholesale market data"
Contributing
See CONTRIBUTING.md.
License
MIT License — see LICENSE for details.
Part of the Asgard Ecosystem
This server is part of the Asgard AI Platform open-source ecosystem, connecting AI to real-world services across e-commerce, finance, government data, IoT, social media, and more.
Metadata
Release files for mcp-twfood 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcp_twfood-0.1.0.tar.gz | 13.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcp_twfood-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.2 kB
Release files / mcp_twfood-0.1.0.tar.gz
| Download URL | mcp_twfood-0.1.0.tar.gz |
|---|---|
| Size | 13.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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Signed by GitHub Actions, verified by PyPI on Apr 5, 2026.
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| Download URL | mcp_twfood-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
13d460096823acd97782803285baef68386edb77955dc79cfa58c3d5da9bb382
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|
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|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Apr 5, 2026.
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