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619,833 tools. Updated 2026-09-28 19:24

"A server for finding weather information in China" matching MCP tools:

  • Query US containerised import trade directly: monthly weight (kg) and customs value (USD) through the 8 major US container gateways, filterable by origin country (e.g. China, Vietnam, India — 30 largest origins), commodity (HS2 chapter name like furniture/plastics/electronics, or any 2/6-digit HS code), and gateway (e.g. us_la_longbeach, savannah). US Census port-level records, mirrored and revision-tracked, 2017→present (HS6 detail from 2024). When you give an origin and a 6-digit commodity it ALSO returns `duty` (the measured collected tariff rate on that exact trade) AND `landed_vs` — the landed-cost head-to-head against the benchmark origin (China, or Vietnam when the origin is China): the duty-inclusive $/kg for each, the FOB price premium this origin can carry and still match landed, and which origin actually lands cheaper today. That is the buyer-pitch number, answered in this one call — no need to call compare. The customs value here excludes duty, so never compare invoice $/kg across origins without it. Ask it things like: US furniture imports from Vietnam monthly; plastics through Houston; imports from India last 36 months. No API key required.
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  • Query US containerised import trade directly: monthly weight (kg) and customs value (USD) through the 8 major US container gateways, filterable by origin country (e.g. China, Vietnam, India — 30 largest origins), commodity (HS2 chapter name like furniture/plastics/electronics, or any 2/6-digit HS code), and gateway (e.g. us_la_longbeach, savannah). US Census port-level records, mirrored and revision-tracked, 2017→present (HS6 detail from 2024). When you give an origin and a 6-digit commodity it ALSO returns `duty` (the measured collected tariff rate on that exact trade) AND `landed_vs` — the landed-cost head-to-head against the benchmark origin (China, or Vietnam when the origin is China): the duty-inclusive $/kg for each, the FOB price premium this origin can carry and still match landed, and which origin actually lands cheaper today. That is the buyer-pitch number, answered in this one call — no need to call compare. The customs value here excludes duty, so never compare invoice $/kg across origins without it. Ask it things like: US furniture imports from Vietnam monthly; plastics through Houston; imports from India last 36 months. No API key required.
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  • Purpose: query the global rCB company and project database (129 records: domestic / international / equipment vendors) by segment, region, status and keyword - the discovery tool for capacity projects and players in the chemical recycling industry. Guidelines: combine segment (rcb/virgin/conductive) + status ('在建','规划','under construction') + location; for capacity-project lists filter status, then pair with get_company for full entity detail. Limits: company-level records only - capacity is a record attribute, not a separate projects table; confidence varies A/B/C. Ex: 'rCB projects under construction in China', 'conductive carbon black producers worldwide'.
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  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
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  • Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.
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  • Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.
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Matching MCP Servers

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    This server provides real-time weather and 5-day forecast for Chinese cities via weather.com.cn, requiring no API key.
    3
    26 npm
    MIT

Matching MCP Connectors

  • US weather for AI agents: active NWS alerts by state, 5-period forecasts by lat/lon. Paid per call.

  • Weather MCP — wraps Open-Meteo API (free, no auth)

  • No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.
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  • Purpose: the end-of-life tyre (ELT) collection topic for the rCB supply chain - policy targets, the 2026 standard system, the collection-network build-out, the processing value ladder (retreading > recycled rubber > pyrolysis) and market-size figures, with official sources labelled per record. Guidelines: call with no arguments for the full topic, or pass topic (policy/standard/network/ladder/market) to focus one section; pair with get_elt_price_index (category G-ELT) for collection prices and get_feedstock_overview for arisings. Limits: policy and standard records are sourced from official documents; market-size figures are public-information compilations and labelled as such; does not return prices. Ex: 'China end-of-life tyre recycling policy 2030 target', 'ELT collection network China', 'scrap tyre pyrolysis standards 2026'.
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  • Use BEFORE accepting or paying a China supplier quote for one China → US or China → EU shipment. This shipment-level gate exposes missing landed-cost inputs, dated low-value rule changes, and compliance blockers for low-regulation physical goods. Use normalize_supplier_quote for one quote, compare_preflight_quotes for 2–5 quotes, and check_trade_requirements for a checklist. Do not use it as a freight-rate marketplace, HTS/TARIC classifier, customs brokerage service, or legal advice. Output includes status, corridor, missing_fields, dated authoritative_sources, estimated_landed_cost_components, de_minimis_low_value_treatment, compliance_flags, human_review_reason, and disclaimer. UNKNOWN means a cost or rule cannot be established from supplied inputs; NEEDS_MORE_DATA means required values are missing; MANUAL_REVIEW means a human importer, broker, or compliance reviewer must decide.
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  • 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 [product] suppliers are there in China" - "where is [product] concentrated and what are the top clusters" - "overview of the [product] industry" - "competitive landscape for sourcing [product]" - "before I decide, show me the market scale for [product]" - "市场概况 / 行业分析 / 产业格局 / 市场规模 / 竞争格局" - "[品类] 在中国的市场情况怎么样" WORKFLOW: analyze_market → search_suppliers or recommend_suppliers (narrow to specific suppliers) → compare_clusters (evaluate top clusters surfaced in related_clusters). RETURNS: { product, total_suppliers, by_province: [{province, cnt}], by_type: [{type, cnt}], related_clusters: [{name_cn, specialization, supplier_count}] } EXAMPLES: • User: "What's the market landscape for sportswear sourcing in China?" → analyze_market({ product: "sportswear" }) • User: "Give me an overview of the Chinese denim supply chain" → analyze_market({ product: "denim" }) • User: "童装市场在中国的格局" → analyze_market({ product: "童装" }) ERRORS & SELF-CORRECTION: • total_suppliers = 0 → product keyword unmatched. Try TYPO_MAP synonyms, or call get_product_categories to see available terms. • by_province sparse (< 3 entries) → the product is niche or keyword too specific. Try the parent category. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call for a specific supplier shortlist — use recommend_suppliers. Do not call for cluster details — use search_clusters. Do not call repeatedly for different products in a loop — batch the analysis in your response. NOTE: Bird's-eye view. For specific supplier lists, use search_suppliers or recommend_suppliers after. Source: MRC Data (meacheal.ai). 中文:单个品类的市场总览(总供应商数、省份分布、类型分布、相关产业带)。
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  • Create + publish a piece. Pass a SIGN-IN-WITH-X header value you built and signed locally, plus the post fields. Returns the created post + public url; the server never holds your keys. Sell the observation, not the genre. Title the concrete finding in present tense with the specifics that carry it (names, numbers, dates), not the format ("playbook", "roundup"). Open the excerpt and first lines with the finding, not a tease. Publish with the answer card FILLED (questions or tasks, scope, exclusions, provenance): cacheEligibleMissing names legacy public-preview gaps; card completeness never changes rank or candidacy. Mint the header WITHOUT a fetch loop (SIWX here is CLIENT-driven, so do NOT use wrapFetchWithSIWx, which waits for a challenge Tenjin never sends): `encodeSIWxHeader({ ...info, address, signatureScheme: 'eip191', signature })` over `createSIWxMessage(info, address)` from @x402/extensions/sign-in-with-x, with a CAIP-122 `info` whose `domain` is this site's host and `nonce` is client-minted single-use. Full worked example in /llms.txt.
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  • The current AI signal for a region (china, korea, japan, or eu) — recent, relevance-scored items on that region's models, labs, and analysis, ranked by momentum. Includes local-language press translated into English. The canonical regional tool; get_china_signal is a preset of this with region "china". Returns titles, sources, and links.
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  • Free — list every paid tool in the 'china-macro' bundle with its price, payTo address and network. Call this first if you don't have a wallet ready yet.
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  • Describe a SITUATION rather than a question and get every fact bearing on it, each answered and cited. `ask` for one figure, `brief` for a decision. Names what it could not establish. Try: {"situation":"sourcing bearings from china"}
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  • Complete weather overview for a location: current conditions, daily forecast (day/night periods, SPC threats, severity, CAPE, UV), active alerts, and convective outlooks in one call. Data is pre-aggregated across NBM, HRRR, GFS, RTMA, and SPC and unit-converted server-side. This is the primary weather tool; reach for lower-level tools only when you need raw observations or a specific dataset. Accepts a place name directly. Examples: {"location": "Denver"} or {"location": "Portland, OR", "days": 5} or {"lat": 41.4, "lon": -92.9}.
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  • Read the latest Mako-curated PBoC balance-sheet publication (CNY trillions + source URL + as_of_month + note). Public read — suitable for surfacing directly when explaining the China leg of global liquidity. The same value is also embedded in get_financial_conditions.pillars.global_liquidity.components.china; this tool exists for direct/auditable access.
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  • Returns the Smarter Weather developer sign-up URL (with MCP referral attribution). Present the URL so the user can create a free account in a browser (Clerk, no credit card). After they finish, reconnect this MCP server with OAuth and call create_api_key, then configure_mcp. No authentication required.
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  • POST-ACTION Wallet Secret Guardian ($0.02). Scans for BIP-39 seed phrases (12 or 24 consecutive wordlist words), raw hex or WIF-format private keys, Ethereum/Bitcoin wallet addresses, and API keys/bearer tokens appearing near wallet/custody/signing terminology. Any finding results in NO_COMMIT — wallet secrets have no safe threshold, unlike other DCL evaluators. Returns a `sanitized_output` with all matches redacted (null if nothing was found) and a masked `redacted_sample` per finding — the real value is never returned or stored server-side.
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  • Resolves a free-text name into platform identifiers for FILTERING other tools: commodity hubs (slug plus anchor SH4), HS headings (SH4), NCM codes (8 digits) and partner countries (country id). 'soja' resolves to the soybean hub and SH4 1201; 'China' to country id 160. `query` takes a name already known rather than a topic to explore, and up to 10 matches per kind come back — an ambiguous term returns the candidates instead of one guess, so the caller picks. The output is an ID to pass to another tool, and it carries no document and no URL. Finding what exists in the public catalog, and getting a citable document back, is kyrodata_search. Credit class: free (0 credits).
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  • Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.
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  • Search recent news coverage from Chinese, Hong Kong, Taiwanese and overseas-Chinese publishers — Xinhua, China Daily, Global Times, People's Daily, South China Morning Post, CNA Taiwan, CGTN, Caixin and 20 more — by keyword, publisher, jurisdiction, language and date. Returns headline, publisher, URL, publication time, GDELT themes and average article tone for each match. Use it to see how mainland state media, Hong Kong and Taiwanese outlets are covering a topic, and how that differs. Article metadata only, from the GDELT Global Knowledge Graph: there is no article text — follow the url. Covers a rolling 30-day window. Call china_news_outlets to see exactly which publishers are searchable.
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