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PCDCK/ozon-mcp

by Various

MCP-сервер для Ozon Seller API и Performance API — подключите любого AI-агента к кабинету продавца

P

MCP

PCDCK/ozon-mcp

Added 1 June 2026

#ai-agent #claude #ecommerce #fastmcp #mcp #mcp-server #ozon #ozon-api

Overview

MCP server connecting AI agents to Ozon Seller API and Performance API. Written in Python, it exposes Ozon marketplace seller tools through the Model Context Protocol.

Best for

Best for
Developers building AI assistants for Ozon marketplace sellers

Use cases

  • Automate product listing updates via AI agent
  • Retrieve order and performance data from Ozon
  • Connect custom AI assistants to seller cabinet

How to use

Install

uv sync

Tools exposed

  • ozon_call_method
  • ozon_fetch_all
  • ozon_describe_method
  • ozon_search_methods
  • ozon_list_sections
  • ozon_get_section
  • ozon_list_workflows
  • ozon_get_workflow
  • ozon_get_related_methods
  • ozon_get_examples
  • ozon_get_rate_limits
  • ozon_get_subscription_status
  • ozon_list_methods_for_subscription
  • ozon_get_swagger_meta
  • ozon_get_error_catalog
  • oos_risk_analysis
  • cabinet_health_check
  • content_audit
  • pricing_analysis

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue.dev, Goose, Zed

Example client config

{\n  "mcpServers": {\n    "ozon": {\n      "command": "uv",\n      "args": ["--directory", "/absolute/path/to/ozon-mcp", "run", "ozon-mcp"],\n      "env": {\n        "OZON_CLIENT_ID": "your-seller-client-id",\n        "OZON_API_KEY": "your-seller-api-key",\n        "OZON_PERFORMANCE_CLIENT_ID": "your-perf-client-id",\n        "OZON_PERFORMANCE_CLIENT_SECRET": "your-perf-secret"\n      }\n    }\n  }\n}

Notes

MCP server connecting AI agents to Ozon Seller API and Performance API. Written in Python, it exposes Ozon marketplace seller tools through the Model Context Protocol.

6 stars on GitHub. Last updated 2026-04-17. Licensed MIT.

Use cases

  • Automate product listing updates via AI agent
  • Retrieve order and performance data from Ozon
  • Connect custom AI assistants to seller cabinet

Pros

  • Open source and free to use
  • Standard MCP protocol for broad agent compatibility
  • Written in Python, easy to integrate or extend

Cons

  • Very low community adoption (6 stars) suggests limited polish or support
  • May lack comprehensive error handling or documentation
  • Dependent on Ozon API changes and rate limits

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

Pros

  • Open source and free to use
  • Standard MCP protocol for broad agent compatibility
  • Written in Python, easy to integrate or extend

Cons

  • Very low community adoption (6 stars) suggests limited polish or support
  • May lack comprehensive error handling or documentation
  • Dependent on Ozon API changes and rate limits
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