MCP 服务器

geizhals-mcp

Enables AI to search Geizhals price-comparison data, including products, best prices, price history, ratings, categories, and deals.

README

<h1 align="center">geizhals-mcp</h1>

An MCP server that lets an AI search Geizhals price comparison data: products, best prices, price history, ratings and categories. It wraps the Geizhals mobile app's API (api.geizhals.net/gh/v9) and returns the important fields to the AI.

Highlights

Best price across every shop
Find a product and get its best price, full price range, star ratings and test-review count, aggregated over all Geizhals merchants instead of a single listing.
Know when to buy
Pull the full price history and the current price drops (Schnäppchen), sortable by biggest percent off, so a model can answer "is this cheap right now or should I wait".
From keyword to category
Search by free text or browse the complete Geizhals category tree (2200+ categories shipped with the server) to drill into exactly the right segment, then compare a shortlist side by side.

Tools

search_geizhals(query, ...)

Search products by keyword. Filters for country (loc/hloc), category and manufacturer, plus sorting and paging. Returns the hits and facet aggregates (categories, manufacturers, price range) to refine with.

get_product(product_id)

Full detail of one product: name, rating, best-price range, images, offer link and how many test reviews it has.

get_price_history(product_id, days=31)

The min/max/current summary plus the raw [timestamp, price, flag] series.

get_product_ratings(product_id)

Average rating, totals, per-star counts and the reviews link.

browse_category(category, ...)

List the products in a category by its code, with price range and sorting.

compare_products(product_ids)

Compare several products side by side.

get_deals(sort="percent", ...)

Current price drops: products whose best price just fell, with the percent and amount off. Sort by biggest percent drop, price, latest, popularity or top deals, and filter with min_discount_percent.

list_categories(query)

Browse Geizhals' category tree to find the category codes browse_category takes. The full tree ships with the server in data/categories.json.

Setup

Requires Python 3.9+.

pip install -r requirements.txt

Run

python main.py

The server starts over streamable HTTP and prints where it's listening:

Starting geizhals-mcp server on http://127.0.0.1:8000/mcp

Point your MCP client at that URL. Host, port and path live at the top of main.py.

Use it from Claude Desktop

Claude Desktop launches MCP servers over stdio, so bridge to this HTTP server with mcp-remote (needs Node.js):

Start the server (python main.py) and leave it running.
In Claude Desktop open Settings > Developer > Edit Config; that reveals claude_desktop_config.json. Open it and add the geizhals entry:
```
{
  "mcpServers": {
    "geizhals": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "mcp-remote", "http://127.0.0.1:8000/mcp"]
    }
  }
}
```
On macOS/Linux drop the Windows wrapper: use "command": "npx" with "args": ["-y", "mcp-remote", "http://127.0.0.1:8000/mcp"].
Save the file and restart Claude Desktop.

Notes

data/categories.json is a snapshot of Geizhals' category tree (title, id, children). main.py loads it for list_categories.
coverage.json holds the catalogue counts shown in the badges above. scripts/update_coverage.py refreshes it from the Geizhals homepage and a daily GitHub Action commits any change.
API details are documented in search_api.md.
This uses Geizhals' internal mobile API, not an official one. Be nice to it.

Troubleshooting

403 invalid request_fingerprint in payload — the HMAC secret or signing scheme in main.py (GH_HMAC_SECRET, request_fingerprint, API_HOST) no longer matches what the live Geizhals app sends. This is reverse-engineered from the app and hardcoded, so it can drift whenever Geizhals rotates the secret or changes the fingerprint scheme.

Disclaimer

This is an independent, unofficial project and is not affiliated with, endorsed by, or connected to Geizhals. "Geizhals" and all related trademarks belong to their respective owners.

It's published for educational and research purposes only. It talks to Geizhals' internal API, which is not meant for public use and may break or change at any time. You are responsible for how you use it: respect Geizhals' Terms of Service, robots rules and applicable law, and don't hammer their servers.