Wildberries product search and comparison MCP server
wildberries-mcp
An MCP server for Wildberries product search, price history, reviews and side-by-side comparison via the site's internal hosts, no token needed
- 0 ★ on the repository
- Last commit
Extended access
Why this level
- Starts a Python server that reads listings, prices and reviews from internal Wildberries hosts
- Works without a token and writes nothing
A similar tool with a larger community: Wildberries MCP, 16 ★ on the repository
Install
- Works in
- Services
Manual install
git clone https://github.com/shndo1337/wildberries-mcp.git
cd wildberries-mcp
python -m venv venv
pip install -r requirements.txt
python server.pyClone, virtual environment and run over stdio.
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Starts a Python server that reads listings, prices and reviews from internal Wildberries hosts
- Works without a token and writes nothing
This is third-party code. Review the repository files before installing.
What it does
The server offers five tools: search_products searches by keyword, get_product returns a full card, get_price_history shows price points over time, get_reviews returns the rating and review texts, and compare_products lines up several products side by side. Since Wildberries has no public API for this, the server talks to the same internal hosts the site uses: product data comes from the basket-XX.wbbasket.ru CDN, where the shard number is not fixed and is resolved and cached per article by the client, reviews are read by imt_id through a separate feedback-bt.wildberries.ru host, and search goes through search.wb.ru with a shared session, a minimum interval between requests, and backoff retry on 429.
Who it is for. For shoppers and analysts who want to search, compare and track Wildberries product prices from a chat with an agent.
Good fit when
- You want to compare several products by price, rating and reviews at once
- You want a product's price history to tell a real discount from a fake one
- You want search and analysis with no seller account and no token
Not a fit when
- You need seller-dashboard data or operations: the server only works with public data
- You are not comfortable depending on Wildberries' internal, undocumented hosts, which can change
Example request
Find wireless earbuds under 2000 rubles with a rating above 4.5 and compare the top 3 by reviews and price trendMCP
- Transport
- stdio
- Authentication
- not required
Limitations
The server relies on Wildberries' internal endpoints rather than an official API, so a change on their side can break tools, though the code isolates each source to make fixes easier. Search is heavily rate-limited, and heavy use needs the built-in backoff or proxies. There is no authentication or seller access, only public read-only data. No license is stated.
How to disable. Remove the wildberries entry from your MCP client configuration.
FAQ
Do I need a seller token?
No, the server only reads public product data without authorization.
Why is search sometimes slow?
Wildberries heavily rate-limits search, so the server keeps a shared session and retries with backoff on a 429.
Discussion
No questions or reviews yet.
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Comparison with similar tools
Cards that share the main search query, and how they differ.
| Tool | Official | Authentication | Repository stars | Main difference |
|---|---|---|---|---|
| Wildberries product search and comparison MCP server (this card) | no | not required | 0 | |
| A minimal Python Wildberries MCP server | no | API key | 0 | single-file server |
| Wildberries MCP server with 116 tools | no | API key | 0 | seller API |
README in short
The README explains what makes the server different from public scrapers: comparing several products, which Wildberries' own built-in review AI does not do for a single product. It details how it works around the internal hosts for product data, price history, reviews and search, gives a Python virtual environment install, a get_product JSON example, and an honest limitations section on depending on undocumented endpoints.