Connect MRC Data — China's Apparel Supply Chain Infrastructure and your agent gets 20 tools, among them analyze_market, assess_supplier_credibility, check_compliance. It answers at https://api.meacheal.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
China's apparel supply chain data for AI: 1,000+ suppliers, 350+ fabrics, 170+ clusters.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
analyze_market | Market overview and analysis for a product category in China. USE WHEN: - User asks "what's the market like for X in China" - User wants market intelligence before sourcing - User needs an overview, not specific suppliers - "give me a marke Inputs: product, verbose_hints |
assess_supplier_credibility | Assess a supplier's overall data credibility by fusing multiple declared-vs-verified signals into one 0-100 trust score, with cross-signal physical-plausibility checks. USE WHEN: - User asks "is this factory's data trustworthy / are they ov Inputs: supplier_id |
check_compliance | Check if a supplier meets compliance requirements for a target export market. USE WHEN: - User asks "can this factory export to the US/EU/Japan" - User needs to verify certifications for a specific market - "UFLPA / Xinjiang cotton / REACH Inputs: supplier_id, target_market, verbose_hints |
compare_clusters | Compare multiple Chinese apparel industrial clusters side-by-side on key metrics. PREREQUISITE: You MUST first call search_clusters to obtain valid cluster_ids. Do not guess IDs. USE WHEN user asks: - "compare Humen vs Shishi vs Jinjiang" - Inputs: cluster_ids, verbose_hints |
compare_suppliers | Compare multiple suppliers side by side on all dimensions. USE WHEN user asks: - "compare these 3 factories" - "which supplier is better between X and Y" - "benchmark sup_001 vs sup_002 vs sup_003" - "side-by-side: capacity, certifications, Inputs: supplier_ids, verbose_hints |
detect_discrepancy | [Core feature] Surface supplier specifications that deviate from independent lab measurements. USE WHEN user asks: - "which fabrics have lab-test deviations on weight" - "find suppliers whose stated capacity differs from on-site measurement Inputs: field, min_discrepancy_pct, verbose_hints |
estimate_cost | Estimate sourcing cost for a product based on fabric price, supplier pricing, and order quantity. USE WHEN: - User asks "how much would it cost to make 1000 t-shirts" - User needs a rough cost breakdown for budgeting - "ballpark cost to pro Inputs: product, fabric_category, quantity, province, verbose_hints |
find_alternatives | Find alternative suppliers similar to a given supplier. USE WHEN: - User says "this supplier is too expensive / too slow / too far" - User needs backup options for an existing supplier - "give me backup options for sup_XXX" - "find 5 altern Inputs: supplier_id, reason, province, limit, verbose_hints |
get_cluster_suppliers | List all suppliers in a specific industrial cluster. USE WHEN user asks: - "what factories are in Humen cluster" - "show me suppliers in Keqiao fabric market" - "list all womenswear factories in [cluster]" - "top-quality suppliers in [clust Inputs: cluster_id, limit, offset, verbose_hints |
get_fabric_detail | Get the complete lab-tested record of a single fabric by ID. PREREQUISITE: You MUST first call search_fabrics to obtain a valid fabric_id. Do not guess IDs. USE WHEN user asks: - "show me the full specs for fabric FAB-W007" - "what's the co Inputs: fabric_id, verbose_hints |
get_fabric_suppliers | List all suppliers offering a specific fabric, sorted by quality score, with price comparison. USE WHEN user asks: - "who supplies fabric fab_XXX" / "where can I buy this fabric" - "compare prices for [fabric] across suppliers" - "best supp Inputs: fabric_id, verbose_hints |
get_product_categories | List all product categories available in the database with supplier counts. USE THIS FIRST when: - User doesn't know what to search for - User asks "what do you have" / "what can I source" - User needs to explore the database - "what's the Inputs: province, verbose_hints |
get_province_distribution | Show supplier distribution across Chinese provinces. USE WHEN: - User asks "where are factories located" / "which provinces" - User needs to decide which region to source from - "where's [product] manufacturing concentrated in China" - "top Inputs: product_type, verbose_hints |
get_stats | Get overall database statistics: total counts of suppliers, fabrics, clusters, and links. USE WHEN user asks: - "how big is your database" / "what's the coverage" / "data overview" - "how many suppliers / fabrics / clusters do you have" - " Inputs: verbose_hints |
get_supplier_detail | Get the complete profile of a single Chinese apparel supplier by ID. PREREQUISITE: You MUST first call search_suppliers or recommend_suppliers to obtain a valid supplier_id. Do not guess IDs. USE WHEN user asks: - "tell me more about [suppl Inputs: supplier_id, verbose_hints |
get_supplier_fabrics | List all fabrics a specific supplier can provide, with quoted prices. USE WHEN user asks: - "what fabrics does [supplier name] have" / "what can this factory source for me" - "show me the catalog of supplier sup_XXX" - "what does this manuf Inputs: supplier_id, verbose_hints |
recommend_suppliers | Smart supplier recommendation based on sourcing requirements. USE WHEN: - User describes what they need: "I need a factory for cotton t-shirts in Guangdong" - User asks for recommendations, not just search results - "who's the best factory Inputs: product, province, type, limit, verbose_hints |
search_clusters | Search Chinese apparel industrial clusters and textile markets. USE WHEN user asks: - "where is China's [denim / suit / women's wear / underwear] manufacturing concentrated" - "what is the largest [silk / cashmere / down jacket] industrial Inputs: province, type, specialization, scale, limit, offset |
search_fabrics | Search the Chinese fabric and textile database with lab-tested specifications. USE WHEN user asks: - "find me a [cotton / polyester / nylon / wool / linen] fabric for [t-shirts / jeans / suits]" - "I need 180gsm jersey knit with verified co Inputs: category, min_weight_gsm, max_weight_gsm, composition, suitable_for, max_price_rmb |
search_suppliers | Search verified Chinese apparel manufacturers, apparel factories, and clothing suppliers. USE WHEN user asks: - "find me a clothing manufacturer in China / Guangdong / Zhejiang" - "who makes [t-shirts / suits / denim / activewear] in China" Inputs: query, province, city, type, product_type, min_capacity |
Every block below points at https://api.meacheal.ai/mcp. Pick your client and copy.
claude mcp add --transport http mrc-data-china-s-apparel-supply https://api.meacheal.ai/mcp
{
"mcpServers": {
"mrc-data-china-s-apparel-supply": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.meacheal.ai/mcp"]
}
}
}{
"mcpServers": {
"mrc-data-china-s-apparel-supply": {
"url": "https://api.meacheal.ai/mcp"
}
}
}{
"servers": {
"mrc-data-china-s-apparel-supply": {
"type": "http",
"url": "https://api.meacheal.ai/mcp"
}
}
}{
"context_servers": {
"mrc-data-china-s-apparel-supply": {
"url": "https://api.meacheal.ai/mcp"
}
}
}{
"mcpServers": {
"mrc-data-china-s-apparel-supply": {
"serverUrl": "https://api.meacheal.ai/mcp"
}
}
}{
"mcpServers": {
"mrc-data-china-s-apparel-supply": {
"url": "https://api.meacheal.ai/mcp"
}
}
}name: MRC Data — China's Apparel Supply Chain Infrastructure
version: 0.0.1
schema: v1
mcpServers:
- name: MRC Data — China's Apparel Supply Chain Infrastructure
type: streamable-http
url: https://api.meacheal.ai/mcp{
"mcpServers": {
"mrc-data-china-s-apparel-supply": {
"httpUrl": "https://api.meacheal.ai/mcp"
}
}
}{
"mcpServers": {
"mrc-data-china-s-apparel-supply": {
"type": "http",
"url": "https://api.meacheal.ai/mcp"
}
}
}{
"mcpServers": {
"mrc-data-china-s-apparel-supply": {
"url": "https://api.meacheal.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.meacheal.ai%2Fmcp&type=streamable_http&id=mrc-data-china-s-apparel-supply&name=MRC%20Data%20%E2%80%94%20China%27s%20Apparel%20Supply%20Chain%20Infrastructure
It answered our last check on 17 October 2026 in 360 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by meacheal.ai and served from api.meacheal.ai, the vendor's own domain: https://api.meacheal.ai/mcp.
20, as returned by the server's own tools/list on 8 September 2026: analyze_market, assess_supplier_credibility, check_compliance, compare_clusters, compare_suppliers, detect_discrepancy, estimate_cost, find_alternatives, and 12 more.
It answered our last check on 17 October 2026 in 360 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.meacheal.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.meacheal. Endpoint host: api.meacheal.ai. ARD identifier: urn:air:ai.meacheal:mcp:mrc-data.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.