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BuyWhere/buywhere-mcp

by Various

BuyWhere MCP server — search and compare products from Singapore, SEA, and US markets via Model Context Protocol. Cross-border e-commerce product catalog for AI agents.

B

MCP

BuyWhere/buywhere-mcp

Added 1 June 2026

#a2a #agent2agent #ai-agent #buywhere #claude #commerce #cursor #e-commerce

Overview

BuyWhere MCP server enables AI agents to search and compare products across Singapore, Southeast Asian, and US markets using the Model Context Protocol. It provides a cross-border e-commerce product catalog for agent-driven shopping queries.

Best for

Best for
Developers building AI agents that need to query product data across Singapore, Southeast Asian, and US e-commerce markets

Use cases

  • Search product availability and prices across multiple regional markets
  • Compare cross-border e-commerce listings via AI agent workflows
  • Integrate regional product data into MCP-compatible applications

How to use

Install

npx -y @buywhere/mcp-server

Tools exposed

  • search_products
  • get_product
  • compare_prices
  • get_price
  • get_affiliate_link
  • get_catalog
  • BUYWHERE_API_KEY
  • BUYWHERE_API_URL

Tested with

Claude Desktop, Cursor, Windsurf, Cline, Continue, VS Code, ChatGPT

Notes

BuyWhere MCP server enables AI agents to search and compare products across Singapore, Southeast Asian, and US markets using the Model Context Protocol. It provides a cross-border e-commerce product catalog for agent-driven shopping queries.

3 stars on GitHub. Last updated 2026-05-08. Licensed MIT.

Use cases

  • Search product availability and prices across multiple regional markets
  • Compare cross-border e-commerce listings via AI agent workflows
  • Integrate regional product data into MCP-compatible applications

Pros

  • Covers multiple distinct markets in one tool
  • Works with standard MCP protocol for easy agent integration
  • Open source with a small, focused codebase

Cons

  • Low community traction with only 3 GitHub stars
  • Limited to markets in Singapore, SEA, and US only
  • No clear indication of data freshness or catalog size

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Covers multiple distinct markets in one tool
  • Works with standard MCP protocol for easy agent integration
  • Open source with a small, focused codebase

Cons

  • Low community traction with only 3 GitHub stars
  • Limited to markets in Singapore, SEA, and US only
  • No clear indication of data freshness or catalog size
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