MRC Data — China's Apparel Supply Chain Infrastructure
RemoteAbout MRC Data — China's Apparel Supply Chain Infrastructure
China's apparel supply chain data for AI: 1,000+ suppliers, 350+ fabrics, 170+ clusters
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.meacheal.ai/mcpclaude mcp add --transport http ai-meacheal-mrc-data https://api.meacheal.ai/mcp{"mcpServers":{"ai-meacheal-mrc-data":{"type":"http","url":"https://api.meacheal.ai/mcp"}}}Open in Cursor{"servers":{"ai-meacheal-mrc-data":{"type":"http","url":"https://api.meacheal.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-meacheal-mrc-data":{"type":"http","url":"https://api.meacheal.ai/mcp"}}}{"mcpServers":{"ai-meacheal-mrc-data":{"serverUrl":"https://api.meacheal.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://api.meacheal.ai/mcpAuth requiredTools
20| Parameter | Type | Required | Description |
|---|---|---|---|
| city | string | No | City name |
| type | enum | No | Supplier typefactory | trading_company | workshop | cooperative |
| limit | integer | No | Page size: number of records to return (1-50, default 10) |
| query | string | No | Search by company name — Chinese (广州新鑫) or English (Xinxin Garments) |
| offset | integer | No | Pagination offset: skip this many records before returning results (default 0) |
| province | string | No | Province in China (e.g. 广东 Guangdong, 浙江 Zhejiang, 江苏 Jiangsu, 福建 Fujian, 山东 Shandong) |
| min_capacity | integer | No | Minimum monthly production capacity (pieces) |
| product_type | string | No | Product category keyword (e.g. 西装 suits, 女装 womenswear, 牛仔 denim, 运动服 activewear, t-shirt, 衬衫 shirts) |
| verbose_hints | boolean | No | If true, response includes _interpretation annotations explaining what the data means and _guidance on how to use it |
| data_confidence | string | No | Data quality filter: verified / partially_verified / unverified |
| compliance_status | string | No | Compliance status filter: compliant / partially_compliant / non_compliant |
| min_quality_score | number | No | Minimum quality score 1-10 |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.