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Manage RetailCRM orders, customers, products, and analytics through one MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "retailcrm-mcp" yet — see the docs or source repo.
Use retailcrm-mcp to fetch new orders from the last 7 days with related customer data, then return a concise summary grouped by order status.
A concise summary of recent orders and customer records, organized by status.
Use retailcrm-mcp to retrieve product details and inventory for specified SKUs, and list any out-of-stock or low-stock items.
Product details, stock status, and a list of items that may need replenishment.
Use retailcrm-mcp to get this month’s payment data and analytics metrics, then generate a short operations-focused summary.
An overview of payment data and a brief analytics summary for operations teams.
Developers or product managers can connect orders, customers, products, inventory, payments, and tasks from RetailCRM into AI workflows through one MCP server. It fits scenarios where teams want unified access and actions through API v5.
Analysts or operations users can use its token-efficient summary outputs to quickly review orders, inventory, and analytics. It is useful for conversational workflows that need concise insights with lower context usage.
Teams needing a production deployment can benefit from its production-grade design, Docker readiness, and support for both stdio and HTTP transports. It works well when integrating RetailCRM capabilities into different AI clients or service architectures.
It is a production-grade MCP server for the RetailCRM e-commerce CRM, used to manage orders, customers, products, inventory, payments, tasks, references, and analytics through API v5. The description also states that it provides 39 tools and 2 prompt skills.
It supports both stdio and HTTP transports and is Docker-ready. For exact deployment steps and configuration details, see the source repository.
Based on the provided information, it is a production-grade MCP server with many built-in tools and prompt skills, and it returns token-efficient summaries by default. For any additional differences, see the source repository.
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