# MRC Data

> Use this tool when you need to access verified supply chain intelligence for the Chinese apparel industry, solving problems such as supplier discovery, fabric sourcing, and compliance certification. It provides detailed records with 63+ dimensions per supplier, fabric specifications, and industrial cluster comparisons. Ideal for apparel industry professionals, it offers a user-friendly interface via MCP protocol and REST API, with a free tier of 100 requests per day.

Canonical page: https://skillsregistry.net/skills/meacheal-mrc-data  
JSON: https://api.skillsregistry.net/v1/skills/meacheal-mrc-data

## Description

MRC Data delivers verified supply chain intelligence for the Chinese apparel industry. The database covers suppliers across 31 provinces with 63+ dimensions per record, fabric specifications with independent lab measurements (AATCC, ISO, GB standards), and industrial cluster comparisons. Supports supplier discovery, fabric sourcing, OEM/ODM matching, and compliance certification lookup. Available via MCP protocol and REST API with a free tier of 100 requests per day.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/meacheal-mrc-data)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "meacheal-mrc-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/meacheal-mrc-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/meacheal-mrc-data/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt