wolt-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@wolt-mcpfind vegan restaurants near me open now"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
wolt-mcp
A thin Model Context Protocol server that exposes Wolt's public consumer endpoints to AI agents. Point it anywhere Wolt operates — the default coordinates are Tallinn, Estonia, but you can override per-call or via env vars.
Two tools, no magic:
list_nearby— venues near a lat/lon, filtered by substring, rating, open/closed status.get_menu— full menu for a venue by slug, with prices, 30-day lows, and category structure.
It's read-only on purpose. Wolt's ordering API is gated behind merchant credentials; this server intentionally doesn't try to place orders.
Who this is for
You want an AI assistant (Claude Code, Cursor, Continue, Zed, or your own Agent SDK app) that can:
Discover restaurants by cuisine, rating, or open status in your city.
Read full menus with live prices into its context window.
Watch favorite venues for deals — discount categories like
ERIPAKKUMISED(Estonian),SPECIAL OFFERS, orKUUPAKKUMINE(monthly offer), pluslowest_price(the 30-day low used for EU compliance display).Draft weekly meal plans by composing items across a curated shortlist of venues.
Geographic coverage
Wolt's consumer-api.wolt.com is global; this server has no country hardcoding. Change WOLT_DEFAULT_LAT / WOLT_DEFAULT_LON (or pass lat/lon per call) to work anywhere Wolt delivers — Finland, Germany, Czechia, Estonia, Israel, Greece, Japan, and more. Verified live against Tallinn (59.4370, 24.7536); other regions should work with the same endpoints.
Install
git clone https://github.com/fogside/wolt-mcp
cd wolt-mcp
python3 -m venv .venv
.venv/bin/pip install -e .Then register it with any MCP-capable client. For Claude Code, drop this at the project root:
{
"mcpServers": {
"wolt": {
"command": "./.venv/bin/wolt-mcp",
"args": [],
"env": {
"WOLT_DEFAULT_LAT": "59.4370",
"WOLT_DEFAULT_LON": "24.7536",
"WOLT_LANGUAGE": "en"
}
}
}
}For Claude Desktop, add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or the equivalent on Linux/Windows:
{
"mcpServers": {
"wolt": {
"command": "/absolute/path/to/wolt-mcp/.venv/bin/wolt-mcp",
"env": { "WOLT_DEFAULT_LAT": "59.4370", "WOLT_DEFAULT_LON": "24.7536" }
}
}
}Any other MCP client that supports stdio transport works the same way — run wolt-mcp as the command.
Tools
list_nearby
Param | Type | Default | Notes |
| float |
| |
| float |
| |
| int (m) |
| 200–20000 |
| str? |
| Substring match against name + tags |
| bool |
| |
| float? |
| 0–10 scale |
| int |
| |
| str |
|
Returns a list of dicts: name, slug, id, online, rating, rating_volume, eta_minutes, price_range, tags, short_description, address.
get_menu
Param | Type | Default | Notes |
| str | — | From |
| str |
| |
| bool |
|
Returns { slug, assortment_id, primary_language, selected_language, available_languages, categories: [{ id, name, slug, description, items: [...] }], uncategorised_items, item_count }. Each item has id, name, description, price, original_price, lowest_price, enabled, tags.
Prices are integers in minor units. 2390 = €23.90. Currency is not on items — infer from venue country.
Environment variables
Var | Default | Purpose |
|
| Tallinn center |
|
| |
|
| Sent as |
|
| Python logging level |
Example conversations
"Find the top five sushi places near me that are open right now." →
list_nearby(query="sushi", only_open=True, min_rating=9, max_results=5)"Pull Vapiano Foorum's menu and tell me what's vegetarian." →
get_menu(slug="vapiano-foorum")then the LLM filters by description."Compare prices for pad thai between these three Thai venues." → one
list_nearby+ threeget_menucalls."Summarise current deals at my favorite café." →
get_menu— surface items in categories named likeERIPAKKUMISED/SPECIAL OFFERS/KUUPAKKUMINE, or with⭐in the name.
Detecting deals — an important gotcha
Wolt venues in practice use category membership as their deal signal much more often than original_price. A typical Estonian cafe will have a category named ERIPAKKUMISED ("special offers") or KUUPAKKUMINE ("monthly offer") containing the discounted items, while original_price on those items stays null.
When prompting your agent, don't rely on a price-diff — ask it to inspect category names and item names (⭐ prefixes are common) as the first-class signal. lowest_price is useful for longer-range price-tracking: it's the 30-day low that Wolt surfaces for EU price-transparency compliance.
Non-goals and limitations
No ordering, cart, or checkout. Wolt's consumer cart/order flow requires authenticated user sessions + isn't in this MCP's scope. For commerce, use Wolt's merchant API (partner credentials required).
No user-account actions. Can't read your order history or favorites.
Language. The
assortmentendpoint often returns the venue's primary language (e.g. Estonian) even whenenis requested — most venues don't publish auto-translated content. You'll see the actual selected language in the response'sselected_languagefield.Rate limits. Wolt returns 429s under aggressive use. For personal use this doesn't matter; for anything heavier, add client-side pacing.
Terms of service
This project hits Wolt's public, unauthenticated consumer endpoints — the same ones wolt.com's web app calls. Automated access at scale is contrary to Wolt's Terms of Service. Use this for personal agent assistance, experimentation, or research. Don't build a scraper at scale with it.
Credits and sources of inspiration
jonzarecki/wolt-sdk — the first published Wolt MCP. Inspired this project, though the published implementation was Israel-focused and had server↔client method mismatches at the time of this writing, which pushed us to rebuild rather than fork. MIT-licensed.
OfiliPatrick/wolt-restaurant-api — early reverse-engineering of the consumer endpoints.
Tomer Chaim's writeup and OzTamir's gist — how to discover undocumented web-app endpoints through DevTools.
Built on FastMCP (v3.x) by the
jlowin/fastmcpproject.The broader Model Context Protocol spec from Anthropic.
Development
.venv/bin/pip install -e ".[dev]" # once dev extras are defined
.venv/bin/wolt-mcp # runs the server on stdio — connect a clientContributions welcome — especially venue-specific deal-detection heuristics for cities outside Estonia, or a venue_dynamic(slug) tool if you can find a working endpoint.
License
MIT.
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