meacheal-ai/mrc-data

Overview

A data infrastructure tool that provides verified supplier and fabric data for AI agents operating in China's apparel supply chain. It exposes 3,000+ suppliers, 350+ lab-tested fabrics, and 170+ industrial clusters through MCP, REST, and OpenAPI interfaces.

Best for

Best for
Developers building AI agents for China's apparel sourcing and supply chain management

Use cases

• Integrate verified supplier data into AI-driven sourcing agents
• Query lab-tested fabric specifications programmatically
• Map industrial clusters for supply chain optimization

Notes

A data infrastructure tool that provides verified supplier and fabric data for AI agents operating in China’s apparel supply chain. It exposes 3,000+ suppliers, 350+ lab-tested fabrics, and 170+ industrial clusters through MCP, REST, and OpenAPI interfaces.

1 stars on GitHub. Last updated 2026-04-19.

Use cases

• Integrate verified supplier data into AI-driven sourcing agents
• Query lab-tested fabric specifications programmatically
• Map industrial clusters for supply chain optimization

Pros

• Large, curated dataset of verified suppliers and fabrics
• Multiple API interfaces (MCP, REST, OpenAPI) for flexible integration
• Covers a specific, high-value niche in apparel supply chain

Cons

• Very early stage with only 1 GitHub star and limited community adoption
• Documentation and usage examples are minimal
• Shell-based implementation may limit cross-platform ease of use

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