supply-chain-mcp-server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@supply-chain-mcp-server Show me the top 10 trade partners of the USA for imports"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
supply-chain-mcp-server
MCP server giving AI agents access to global supply chain and trade data. Powered by UN Comtrade, World Bank, and Open Supply Hub — all free APIs.
Data Sources
UN Comtrade — 200+ countries, 5000+ product categories, 50+ years of data
World Bank Trade Statistics — GDP, trade ratios, development indicators
Open Supply Hub — Global factory/supplier database
Related MCP server: DEX Pools MCP
Tools
Tool | Description |
| Import/export data between countries by product category |
| Ranking of a country's most important trade partners |
| Risk analysis for critical products (semiconductors, rare earths, etc.) |
| General trade statistics for a country (World Bank) |
| Find manufacturers/suppliers by country and sector |
Installation
pip install supply-chain-mcp-serverUsage with Claude Desktop
{
"mcpServers": {
"supply-chain": {
"command": "supply-chain-mcp-server"
}
}
}Example Queries
"What is Germany's supply chain risk for semiconductors?"
"Show me the top 10 trade partners of the USA for imports"
"What are China's biggest export markets?"
"Find electronics manufacturers in Vietnam"
"Analyze the supply chain risk for rare earth elements"
Use Cases
Procurement agents: Identify suppliers and alternative sources
Risk analysis: Detect critical dependencies before they become crises
Market intelligence: Track trade flow trends
ESG research: Supplier transparency via Open Supply Hub
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License
MIT
Available Tools
5 toolsget_country_trade_statsB
Gibt allgemeine Handelsstatistiken für ein Land über die World Bank API.
Args: country: Ländername (z.B. "deutschland", "usa", "china", "indien") year: Datenjahr
Returns: Exporte, Importe, Handelsbilanz, BIP-Anteil des Handels
Inputs: country (required), year.
get_supply_chain_riskA
Analysiert Lieferketten-Risiken für ein Produkt.
Args: product: Produkt oder Branche (z.B. "halbleiter", "seltene erden", "solar", "batterien") analysis_depth: "basic" oder "detailed"
Returns: Risikoanalyse: Konzentration, kritische Abhängigkeiten, Alternativquellen
Inputs: product (required), analysis_depth.
get_top_trade_partnersB
Gibt die wichtigsten Handelspartner eines Landes zurück.
Args: country: Land (z.B. "deutschland", "usa", "china") year: Jahr der Daten flow: "import" oder "export" limit: Anzahl Top-Partner
Returns: Ranking der wichtigsten Handelspartner mit Handelsvolumen
Inputs: country (required), year, flow, limit.
get_trade_flowA
Ruft Handelsdaten zwischen zwei Ländern für eine Produktkategorie ab.
Args: reporter_country: Berichtendes Land (z.B. "deutschland", "usa", "china") partner_country: Handelspartner ("all" für alle, oder Ländername) product_category: Kategorie (elektronik/maschinen/autos/pharma/stahl/oel/halbleiter) year: Jahr (Standard: 2023) flow: "import" oder "export"
Returns: Handelsdaten: Volumen, Wert, Top-Partner
Inputs: reporter_country (required), partner_country, product_category, year, +1 more.
search_suppliers_by_countryA
Sucht Fabrikanten/Lieferanten in einem Land via Open Supply Hub.
Args: country: Land (z.B. "Bangladesh", "Vietnam", "India", "China") sector: Branche (z.B. "apparel", "electronics", "footwear") — optional limit: Anzahl Ergebnisse
Returns: Liste von Lieferanten/Fabriken mit Standorten
Inputs: country (required), sector, limit.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 5 tools
Each tool targets a distinct aspect of supply chain analysis: country trade stats, product risk, top partners, bilateral trade flows, and supplier search. No functional overlap detected.
All tools follow a consistent snake_case verb_noun pattern (get_*, search_*), making the API predictable and easy to navigate.
With 5 tools, the server covers the essential dimensions of supply chain inquiry without being sparse or overwhelming. The count is well-scoped for a focused domain.
The tool set covers trade stats, risk, partners, flows, and suppliers, which are core to supply chain analysis. Missing advanced features like lead time or logistics data, but the surface is largely complete for basic use.
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