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ilyautov/marketplaces-mcp-ru

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MCP-сервер для кабинетов Wildberries, Ozon, Яндекс Маркета и Авито: продажи, заказы, остатки, цены, финансы, отзывы через API напрямую, без браузера. 1022 метода schema-driven, saf

MCP

ilyautov/marketplaces-mcp-ru

Added 8 Sept 2026

#ai-agents #avito #avito-api #chatgpt #claude #claude-code #cursor #ecommerce

Overview

MCP server that connects AI assistants to the APIs of Wildberries, Ozon, Yandex Market, and Avito. Exposes 1022 schema-driven methods for sales, orders, stock, prices, finances, and reviews, with a safety gate on write operations. Runs in Python and is open-source under MIT.

Best for

Best for
Developers building AI assistants that manage Russian marketplace seller accounts

Use cases

  • Query orders and sales data from marketplace cabinets via AI chat
  • Update prices and stock across WB, Ozon, Yandex Market, and Avito
  • Pull reviews and financial summaries without browser access

How to use

Install

npx -y marketplaces-mcp-ru doctor --live  # то же через npm, без Python

Tested with

Claude Desktop, Claude Code, Cursor, VS Code

Notes

MCP server that connects AI assistants to the APIs of Wildberries, Ozon, Yandex Market, and Avito. Exposes 1022 schema-driven methods for sales, orders, stock, prices, finances, and reviews, with a safety gate on write operations. Runs in Python and is open-source under MIT.

25 stars on GitHub. Last updated 2026-09-07. Licensed MIT.

Use cases

  • Query orders and sales data from marketplace cabinets via AI chat
  • Update prices and stock across WB, Ozon, Yandex Market, and Avito
  • Pull reviews and financial summaries without browser access

Pros

  • Direct API access, no browser automation
  • Large method set covering multiple marketplaces
  • Safety gate on write operations reduces accidental changes

Cons

  • Requires API credentials and setup for each marketplace
  • Python-based, so needs a Python runtime
  • Small project with limited community and maintenance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Direct API access, no browser automation
  • Large method set covering multiple marketplaces
  • Safety gate on write operations reduces accidental changes

Cons

  • Requires API credentials and setup for each marketplace
  • Python-based, so needs a Python runtime
  • Small project with limited community and maintenance
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