MRC Data — China's Apparel Supply Chain Infrastructure

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

검사 2/3 통과 · 내가 묻는 내용은 제작자 서버(api.meacheal.ai)를 거쳐요

claude mcp add --transport http --scope user mrc-data https://api.meacheal.ai/mcp --header 'Authorization: Bearer {api_key}'

{
  "mcpServers": {
    "mrc-data": {
      "url": "https://api.meacheal.ai/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

{
  "servers": {
    "mrc-data": {
      "type": "http",
      "url": "https://api.meacheal.ai/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

어떤 앱에서 쓸 수 있나요

이 서버의 연결 방식과 각 앱의 공식 문서를 바탕으로 했어요. 2026년 11월 10일 확인.

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할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 10일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

• 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" - "I need a BSCI / OEKO-TEX certified a

• 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 [supplier]" / "show full details for sup_XXX"

• 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 composition" - "fabrics under N RMB/meter

• 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 color fastness / shrinkage / pilling grade

• 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 cluster in China" - "industrial cluster

• 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" - "which cluster has lower labor cost — H

• 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 measurements" - "compare cotton content lab results

• 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 manufacturer offer" - "what fabric options do

• 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 supplier for [fabric specification]" - "whic

• 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 most common product category in Guangdon

• 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 provinces for [category]" - "geographic

• 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 for [product]" - "recommend a top suppli

• 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 market landscape for [product]" - "how many [

• 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 produce [quantity] [product] in China" - "b

• 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 / JIS / KC check on sup_XXX" - "is [supp

• 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 overstating?" - "credibility / trust score

• 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 alternatives to [supplier] in a different prov

• 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, quality score" - "rank these 5 supplier

• 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 [cluster]" - "factory directory for [cluster]"

• 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" - "database size / scale / freshness" - "is

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 12일 점검

• ! 주의

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  레지스트리에 소스 저장소가 없어서, 게시자(meacheal.ai)와 코드를 맞춰 볼 수 없어요

• … 아직 점검 안 함

  계속 관리되고 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• … 아직 점검 안 함

  라이선스 있음

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• ✓ 통과

  엔드포인트 응답

  1515ms 만에 응답(HTTP 200)

• – 해당 없음

  OAuth로 로그인

  로그인 필요 없음

• ✓ 통과

  도구 설명에 숨겨진 지시 없음

  도구 설명 20개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

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• 이 카테고리의 다른 서버 5802개 중 0%보다 스타가 많아요
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• 기본 점검 결과가 이 카테고리의 다른 서버 5802개 중 38%와 같거나 더 좋아요

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같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

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