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 apparel factory"

• "looking for OEM / ODM apparel supplier with MOQ < N"

• "find factories with production capacity > N pieces/month"

• "搜供应商 / 找服装厂 / 找制衣厂"

Filters: province, city, factory type (factory/trading_company/workshop), product category, minimum monthly capacity, compliance status, quality score. Returns paginated supplier list with company name, location, monthly capacity (lab-verified), compliance, quality score.

WORKFLOW: This is the primary entry point for supplier discovery. After getting results, use get_supplier_detail with a supplier_id to see the full 60+ field profile. RETURNS: { has_more: boolean, available_dimensions: string[], data: [{ supplier_id, company_name_cn, company_name_en, type, province, city, product_types, quality_score, verified_dims: "5/8", coverage_pct }] } ERRORS: Returns empty data array if no matches. Max 50 results per page. FALLBACK: If no results, try broadening: remove city (keep province), remove product_type, or lower min_capacity. Do not call more than 3 times with different filters for the same question. NOTE: Use this for FILTERING by exact criteria. For ranked recommendations based on sourcing needs, use recommend_suppliers instead.

中文：搜索经过核查的中国服装供应商档案，按地区、类型、产能、品类、合规状态等筛选。

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 wants full details on a specific supplier already identified from search results. Returns 60+ fields including: monthly capacity (lab-verified), equipment list, certifications (BSCI/OEKO-TEX/GRS/SA8000), ownership type (own factory vs subcontractor vs broker), market access (US/EU/JP/KR), chemical compliance (ZDHC/MRSL), traceability depth, and verified_dimensions breakdown showing exactly which of the 8 dimensions (basic_info, geo_location, production, compliance, market_access, export, financial, contact) have data.

WORKFLOW: search_suppliers → pick supplier_id → get_supplier_detail → optionally get_supplier_fabrics for their fabric catalog. RETURNS: { data: { supplier_id, company_name_cn/en, type, province, city, product_types, worker_count, certifications, compliance_status, quality_score, verified_dimensions: { verified_dims: "5/8", coverage_pct, dimensions: {...} } } } ERRORS: Returns error object if supplier_id not found. Unverified suppliers return "not available for public access". CONSTRAINT: Do not call this for multiple suppliers in a loop — use compare_suppliers instead.

中文：按 ID 获取单个供应商的完整档案（含维度覆盖率详情）。

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 for womenswear"

• "compare lab-tested fabric weight across suppliers"

• "找面料 / 搜面料 / 查面料"

Filters: category (woven/knit/nonwoven/leather/functional), weight range (gsm), composition keyword, target apparel type, max price. Returns paginated fabric list with name, lab-tested weight, lab-tested composition, price range, suitable apparel, and data confidence level.

WORKFLOW: Use this as the entry point for fabric discovery. After finding a fabric, use get_fabric_detail for full lab-test data, or get_fabric_suppliers to see which factories supply it. RETURNS: { has_more: boolean, available_dimensions: ["basic_info","composition","physical_properties","lab_test","commercial"], data: [{ fabric_id, name_cn, category, subcategory, declared_weight_gsm, declared_composition, price_range_rmb, suitable_for, verified_dims: "4/5", coverage_pct }] } ERRORS: Returns empty data array if no matches. Max 50 per page. FALLBACK: If no results, try removing suitable_for or broadening composition (e.g. "cotton" instead of "organic cotton"). Do not call more than 3 times for the same question. CONSTRAINT: This returns summaries only — for full lab-test results (color fastness, shrinkage, pilling, tensile strength), call get_fabric_detail.

中文：搜索面料数据库，按品类、克重、成分、适用品类、价格筛选。每条均含 AATCC / ISO / GB 方法的实测数据。

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 wants full specs on a specific fabric after search_fabrics identified it. Returns 30+ fields: lab-tested weight, lab-tested composition, color fastness (wash/light/rub per AATCC 61/16/8), shrinkage (warp/weft per AATCC 135), tensile/tear strength, pilling grade, hand feel, drape, stretch/recovery, MOQ, lead time, price range.

WORKFLOW: search_fabrics → pick fabric_id → get_fabric_detail. Optionally follow with get_fabric_suppliers to find which factories supply this fabric. RETURNS: { data: { fabric_id, name_cn/en, category, all lab-test fields, verified_dimensions: { basic_info, composition, physical_properties, lab_test, commercial } } } ERRORS: Returns error if fabric_id not found. Unverified fabrics return "not available". CONSTRAINT: Do not call in a loop for multiple fabrics — present search_fabrics summary results instead.

中文：按 ID 获取单个面料的完整实测档案（含 AATCC/ISO/GB 检测指标）。

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 comparison Humen vs Shaoxing vs Haining vs Zhili"

• "recommend an industrial cluster for sourcing [product]"

• "服装产业带 / 面料市场 / 产业集群"

Famous clusters this database covers include: Humen (Guangdong, womenswear), Shaoxing Keqiao (Zhejiang, fabric mega-market), Haining (Zhejiang, leather), Zhili (Zhejiang, children's wear), Shengze (Jiangsu, silk), Shantou (Guangdong, underwear), Puning (Guangdong, jeans), Jinjiang (Fujian, sportswear), and more.

Returns paginated cluster list with name, location, specialization, scale, supplier count, average rent and labor cost, and key advantages/risks.

WORKFLOW: Use this to discover clusters. Then use compare_clusters with cluster_ids to compare side-by-side, or get_cluster_suppliers to list factories in a specific cluster. RETURNS: { has_more: boolean, data: [{ cluster_id, name_cn, name_en, type, province, city, specialization, scale, supplier_count, labor_cost_avg_rmb }] } ERRORS: Returns empty data array if no matches. FALLBACK: If no results for a specialization, try broader terms (e.g. "服装" instead of "牛仔"). Chinese and English both work.

中文：搜索中国服装产业带和面料市场。

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 wants to evaluate or choose between 2-10 specific clusters (e.g. "compare Humen vs Shishi vs Jinjiang"). Returns full records for each cluster so they can be compared on labor cost, rent, supplier count, scale, specializations, advantages, and risks.

WORKFLOW: search_clusters → collect cluster_ids → compare_clusters. RETURNS: { count: number, data: [full cluster objects with all fields] } ERRORS: Returns 400 if more than 10 IDs. Missing IDs are silently skipped. CONSTRAINT: Max 10 cluster IDs per call.

中文：对比多个产业带的核心指标（最多 10 个）。

[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 across suppliers"

• "which suppliers have the closest match between specs and lab tests"

• "实测数据 / 数据可信度 / 规格与实测偏差"

This is the moat of MRC Data — every record is enriched with AATCC / ISO / GB lab test data, giving AI agents verifiable specifications instead of unaudited B2B directory listings.

Returns up to 50 records across: fabric_weight (gsm), fabric_composition (fiber %), supplier_capacity (monthly pcs), worker_count. Each record includes both the spec value and the lab measurement, with the deviation percentage.

WORKFLOW: Standalone tool — does not require prior search. Call directly with field type and threshold. RETURNS: { field, min_discrepancy_pct, count, data: [{ id, name, declared_value, tested_value, discrepancy_pct }] } ERRORS: Returns count=0 if no discrepancies above threshold. Max 50 records. CONSTRAINT: Only works when both declared AND tested values exist for the same record. Many records have only one or the other.

中文：识别供应商规格与实测值偏差较大的记录。返回规格值、实测值、偏差百分比。

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"

Returns fabric records linked to the supplier with: fabric name, category, weight, composition, and the supplier's quoted price + MOQ for that specific fabric.

PREREQUISITE: You MUST have a valid supplier_id from search_suppliers or get_supplier_detail. WORKFLOW: search_suppliers → get_supplier_detail → get_supplier_fabrics (to see their fabric catalog). RETURNS: { supplier_id, count, data: [{ fabric_id, name_cn, category, weight, composition, price_rmb, moq }] } ERRORS: Returns count=0 if supplier has no linked fabrics.

中文：查询某供应商能供应的所有面料及其报价、起订量。

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]"

Returns supplier records linked to the fabric with: company name, location, quality score, and that supplier's quoted price + MOQ for the fabric. Sorted by supplier quality score so the most reliable options appear first.

PREREQUISITE: You MUST have a valid fabric_id from search_fabrics. WORKFLOW: search_fabrics → pick fabric_id → get_fabric_suppliers (to compare which factories supply it at what price). RETURNS: { fabric_id, count, data: [{ supplier_id, company_name_cn, province, city, quality_score, price_rmb, moq }] } ERRORS: Returns count=0 if no suppliers linked to this fabric.

中文：查询某面料的所有供应商，按质量评分排序，含报价对比。

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

• "有哪些品类" / "能找什么"

WORKFLOW: Standalone discovery tool. Call this first to understand what's available, then use search_suppliers with a specific product_type. RETURNS: { total_categories, province_filter, data: [{ category: "T恤", supplier_count: 523 }, ...] } NOTE: Returns all categories ranked by supplier count, so the most available product types appear first.

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

• "哪里有工厂" / "供应商分布"

WORKFLOW: Standalone discovery tool. Use this to identify which provinces to focus on, then search_suppliers with that province. RETURNS: { total_provinces, data: [{ province, supplier_count, top_cities: [{ city, count }] }] } NOTE: Provinces are ranked by supplier count (Guangdong, Zhejiang, Jiangsu, Fujian typically lead).

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

• "推荐供应商" / "帮我找合适的工厂"

WORKFLOW: Standalone entry point for "I need help finding a supplier" requests. Returns ranked top-N suppliers. Follow up with get_supplier_detail or compare_suppliers on the top results. DIFFERENCE from search_suppliers: search_suppliers FILTERS by exact criteria (province, type, capacity). This tool RANKS by fit — prioritizes own-factory, then quality score, then capacity. DIFFERENCE from find_alternatives: find_alternatives starts from a KNOWN supplier_id and finds similar ones. This tool starts from product REQUIREMENTS.

RETURNS: { query, total_matches, showing_top, note: "ranking logic", data: [supplier objects] } ERRORS: Returns empty data if no product match found. FALLBACK: If no results, try a broader product term (e.g. "sportswear" instead of "compression leggings"). Do not call more than 3 times for the same question.

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

• "市场概况" / "行业分析"

WORKFLOW: Standalone analysis tool. Use this BEFORE search_suppliers to understand market landscape. Then narrow down with search_suppliers or recommend_suppliers. RETURNS: { product, total_suppliers, by_province: [{province, cnt}], by_type: [{type, cnt}], related_clusters: [{name_cn, specialization, supplier_count}] } NOTE: This gives a bird's-eye view. For specific supplier lists, use search_suppliers after.

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

• "多少钱" / "成本估算" / "报价"

WORKFLOW: Standalone tool. Optionally use search_fabrics first to identify specific fabric_ids for more accurate estimates. RETURNS: { product, fabric_options: [{name, price_range}], estimated_cost_per_piece, total_estimate, breakdown } CONSTRAINT: These are estimates based on database averages, NOT binding quotes. Always clarify this to the user. NOTE: Cost accuracy improves when you provide a specific fabric_id instead of just a product name.

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

• "能不能出口美国" / "合规检查" / "认证要求"

PREREQUISITE: You MUST have a valid supplier_id from search_suppliers. WORKFLOW: search_suppliers → check_compliance (to verify if a specific supplier can export to target market). RETURNS: { supplier, target_market, passed: [string], issues: [string], market_requirements: {field: value} } ERRORS: Returns error if supplier_id not found. Returns note if compliance data is incomplete. NOTE: Many suppliers have incomplete compliance data. Missing data = "not confirmed", not "non-compliant".

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

• "有没有替代" / "找类似的" / "换一家"

Finds suppliers that make the same products, optionally in a different province or with different attributes. Results exclude the original supplier.

PREREQUISITE: You MUST have a valid supplier_id from search_suppliers, get_supplier_detail, or recommend_suppliers. WORKFLOW: search_suppliers → identify a candidate → find_alternatives (to get backup options) → compare_suppliers (to evaluate them side-by-side). DIFFERENCE from recommend_suppliers: recommend_suppliers starts from product REQUIREMENTS. This tool starts from a KNOWN supplier_id and finds similar alternatives. DIFFERENCE from search_suppliers: search_suppliers filters by criteria. This tool uses an existing supplier as the baseline reference.

RETURNS: { reference_supplier, alternatives: [supplier objects], attribution } ERRORS: Returns error if supplier_id not found. Returns empty alternatives if no similar suppliers exist. CONSTRAINT: Max 10 alternatives per call.

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"

• "对比供应商"

PREREQUISITE: You MUST have valid supplier_ids from search_suppliers. Do not guess IDs. WORKFLOW: search_suppliers → collect supplier_ids → compare_suppliers (for side-by-side comparison). RETURNS: { count, data: [full supplier profiles with all fields] } ERRORS: Missing IDs are silently skipped. CONSTRAINT: Max 10 supplier IDs per call. Use this instead of calling get_supplier_detail in a loop. DIFFERENCE from get_supplier_detail: This returns multiple suppliers at once for comparison. get_supplier_detail returns one with verified_dimensions breakdown.

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"

• "虎门产业带有哪些供应商"

PREREQUISITE: You MUST have a valid cluster_id from search_clusters. WORKFLOW: search_clusters → pick cluster_id → get_cluster_suppliers (to see all factories in that cluster). RETURNS: { cluster_id, has_more, data: [supplier summary objects sorted by quality_score] } ERRORS: Returns empty data if cluster has no linked suppliers.

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", "get_stats".

WORKFLOW: Standalone discovery tool — call this first when a user asks about data scale or freshness. For static metadata (geographic scope, top provinces, data standards), use the database-overview resource (mrc://overview) instead. For per-product distribution, use get_product_categories or get_province_distribution. RETURNS: { database, generated_at, tables: { suppliers: { total, by_confidence, last_updated }, fabrics: {...}, clusters: {...}, supplier_fabrics: { total } } } NOTE: Only reports verified + partially_verified records. Unverified reserve data is excluded from counts. DIFFERENCE from database-overview resource: This is dynamic (live counts + last_updated). The resource is static (geographic scope, data standards).

中文：获取数据库整体统计（供应商总数、面料总数、产业带总数、关联记录数）。