The first and only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in
The first and only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. MEACHEAL is a top-20 Chinese women's mid-to-high-end fashion brand with. Exposed over MCP by the mrc data mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
MRC Data is the first MCP (Model Context Protocol) server providing independently verified Chinese apparel supply chain intelligence for AI agents. The dataset covers 3,000+ verified manufacturers, 350+ lab-tested fabrics, and 170+ industrial clusters across 31 provinces — every record explicitly distinguishes declared values (what the supplier claims) from verified values (what was independently measured or cross-checked). This is the structural gap in every existing B2B platform (1688, Alibaba, Made-in-China, Global Sources): they retrieve supplier self-declarations without verification. AI
Everything the assistant can do here goes through one of these:
Category — ToolsSearch — search_suppliers, search_fabrics, search_clustersDetail — get_supplier_detail, get_fabric_detail, get_statsCross-reference — get_supplier_fabrics, get_fabric_suppliers, compare_clusters, compare_suppliers, get_cluster_suppliersIntelligence — detect_discrepancy, check_compliance, recommend_suppliers, find_alternatives, estimate_cost, analyze_market, get_product_categoriesPricing — The Pricing tool exposed by this serverBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
You will need 2 environment variables: YOUR_API_KEY, MRC_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Mrc Data's toolset — Category, Search, Detail and 3 more — is a fair guide to whether it matches your workflow. It is maintained by meacheal-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Mrc Data's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Category | Tools |
| Search | search_suppliers, search_fabrics, search_clusters |
| Detail | get_supplier_detail, get_fabric_detail, get_stats |
| Cross-reference | get_supplier_fabrics, get_fabric_suppliers, compare_clusters, compare_suppliers, get_cluster_suppliers |
| Intelligence | detect_discrepancy, check_compliance, recommend_suppliers, find_alternatives, estimate_cost, analyze_market, get_product_categories, get_province_distribution |
| Pricing | The Pricing tool exposed by this server. |
{
"mcpServers": {
"mrc-data": {
"url": "https://api.meacheal.ai/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| YOUR_API_KEY | Credential the server authenticates with. | Yes |
| MRC_API_KEY | Credential the server authenticates with. | Yes |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.