Buywhere MCP Server

BuyWhere MCP Server — Product Search & Price Comparison for AI Agents

AI agents use BuyWhere to search, compare prices, and discover deals across 11M+ products in Singapore, Southeast Asia, and US markets — in real time.

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AI Agents: Use This Package To

• Search products across Singapore, SEA, and US markets by keyword, category, or price range
• Compare prices across Lazada, Shopee, Amazon, and local retailers in a single query
• Find deals and track real-time pricing with multi-currency support
• Build shopping agents that recommend, compare, and link to products programmatically
• Discover product catalogs with structured taxonomy for any region

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Build With BuyWhere Challenge — $5,000 in Prizes

Join the "Build With BuyWhere" AI Agent Developer Challenge! Use the BuyWhere MCP server to create AI agents that search, compare, and recommend products across Singapore, SEA, and US markets.

• Prize pool: $5,000 USD
• Deadline: June 30, 2026
• Challenge page: buywhere.ai/challenge

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Product search API for AI agents via Model Context Protocol. Search & compare 11M+ products — built for AI agent commerce, not store management.

Works with Claude Desktop, Cursor, VS Code Copilot, Cline, Windsurf, OpenCode, Codex, Continue.dev, and any MCP-compatible client. Also supports Agent-to-Agent (A2A) protocol.

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Demo

44-second demo: product search, deal discovery, price comparison, and multi-region support.

User:   "Find me wireless earbuds under $50 available in Singapore"
Agent:  [calls search_products → returns 5 matching products]

User:   "Compare the top 3"
Agent:  [calls compare_prices → side-by-side with best-value pick]

Quick Start

export BUYWHERE_API_KEY=bw_live_xxxx
npx -y @buywhere/mcp-server

Get your free API key → buywhere.ai/api-keys

Tutorials

• Part 1: MCP for Ecommerce — The Missing Infrastructure Layer for AI Agent Shopping — Architecture and why agents need a product catalog API
• Part 2: Build a Real Shopping Agent in 15 Minutes — Hands-on: set up MCP server, search products, compare prices, build a working agent

Blog

Read the BuyWhere Engineering Blog for deep dives on MCP architecture, agent commerce, and the ecosystem.

• MCP for Ecommerce 2026 — How AI agents search real products, compare prices across markets, and why MCP is the standard
• Building Production MCP Servers — Architecture, tool design patterns, and distribution from 0 to 1,700+ daily npm downloads
• MCP Server Ecosystem 2026 — Every MCP category mapped (4,800+ servers across 40+ domains)
• AI Agent Commerce: Missing Infrastructure — Why shopping is the last unbuilt layer of the agent-native economy
• Cross-Border Price Comparison Tutorial — Build a shopping agent in 10 minutes with BuyWhere MCP

Tools

MCP Client Configuration

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "buywhere": {
      "command": "npx",
      "args": ["-y", "@buywhere/mcp-server"],
      "env": { "BUYWHERE_API_KEY": "bw_live_xxxx" }
    }
  }
}

Cursor / VS Code / Cline

Add to your MCP settings file:

{
  "mcpServers": {
    "buywhere": {
      "command": "npx",
      "args": ["-y", "@buywhere/mcp-server"],
      "env": { "BUYWHERE_API_KEY": "bw_live_xxxx" }
    }
  }
}

Windsurf

Add to ~/.windsurf/mcp.json:

{
  "mcpServers": {
    "buywhere": {
      "command": "npx",
      "args": ["-y", "@buywhere/mcp-server"],
      "env": { "BUYWHERE_API_KEY": "bw_live_xxxx" }
    }
  }
}

OpenCode / Codex

Add to opencode.json:

{
  "mcpServers": {
    "buywhere": {
      "command": "npx",
      "args": ["-y", "@buywhere/mcp-server"],
      "env": { "BUYWHERE_API_KEY": "bw_live_xxxx" }
    }
  }
}

Continue.dev (VS Code / JetBrains)

Add to ~/.continue/config.json:

{
  "experimental": {
    "mcpServers": {
      "buywhere": {
        "command": "npx",
        "args": ["-y", "@buywhere/mcp-server"],
        "env": { "BUYWHERE_API_KEY": "bw_live_xxxx" }
      }
    }
  }
}

Mastra

Mastra is a TypeScript-first AI agent framework with native MCP support.

npm install @mastra/core @mastra/mcp

import { Mastra } from '@mastra/core';
import { MastraMCPClient } from '@mastra/mcp';

const buywhere = new MastraMCPClient({
  name: 'buywhere',
  server: {
    url: new URL('https://api.buywhere.ai/mcp'),
    requestInit: {
      headers: { 'Authorization': `Bearer ${process.env.BUYWHERE_API_KEY}` },
    },
  },
});

const agent = new Mastra({
  agents: {
    shoppingAgent: {
      instructions: 'You are a shopping assistant. Use BuyWhere to find and compare products.',
      tools: await buywhere.tools(),
    },
  },
});

const result = await agent.agents.shoppingAgent.generate(
  'Find me the best deal on a Sony WH-1000XM5 in Singapore'
);

Full guide: BuyWhere + Mastra Integration

LangChain

Use BuyWhere tools in LangChain agents via the MCP adapter:

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_anthropic import ChatAnthropic

async def main():
    async with MultiServerMCPClient({
        "buywhere": {
            "url": "https://api.buywhere.ai/mcp",
            "transport": "streamable_http",
            "headers": {"Authorization": f"Bearer {BUYWHERE_API_KEY}"},
        }
    }) as client:
        tools = await client.get_tools()
        agent = create_react_agent(ChatAnthropic(model="claude-sonnet-4-5"), tools)
        result = await agent.ainvoke({"messages": [("user", "Find the cheapest Sony headphones in Singapore")]})

LlamaIndex

Connect BuyWhere via LlamaIndex MCP client:

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.agent.openai import OpenAIAgent

async def main():
    mcp_client = BasicMCPClient(
        command_or_url="https://api.buywhere.ai/mcp",
        headers={"Authorization": f"Bearer {BUYWHERE_API_KEY}"},
    )
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = mcp_tool_spec.to_tool_list()
    agent = OpenAIAgent.from_tools(tools)
    response = await agent.achat("Compare prices for iPhone 16 Pro across Singapore and US")

CrewAI

Use BuyWhere in a CrewAI agent with MCP tool integration:

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter

buywhere_server = MCPServerAdapter(
    server_params={
        "url": "https://api.buywhere.ai/mcp",
        "headers": {"Authorization": f"Bearer {BUYWHERE_API_KEY}"},
        "transport": "streamable-http",
    }
)

shopping_agent = Agent(
    role="Shopping Research Analyst",
    goal="Find the best deals across Singapore and US markets",
    tools=[buywhere_server],
)

task = Task(
    description="Find the best price for Sony WH-1000XM5 headphones across all available markets",
    agent=shopping_agent,
    expected_output="Product comparison with prices and merchant links",
)

crew = Crew(agents=[shopping_agent], tasks=[task])
result = crew.kickoff()

Configuration

Install

# Run directly (no install)
npx -y @buywhere/mcp-server

# Install globally
npm install -g @buywhere/mcp-server
buywhere-mcp

Use Cases

• Shopping agents — build AI agents that search, compare, recommend products across markets
• Price comparison — multi-market pricing in a single query across Lazada, Shopee, Amazon, local retailers
• Deal discovery — find best-value products with real-time pricing and inventory
• Ecommerce automation — integrate product search into any MCP-compatible app
• Cross-border commerce — compare prices between Singapore, SEA, and US markets
• Agent-to-Agent commerce — delegate shopping tasks between agents via A2A protocol

Architecture

Developer's AI Agent (Claude, Cursor, etc.)
  │
  ├── MCP Protocol (stdio)
  │
  ├── @buywhere/mcp-server
  │     ├── search_products(q, category, min_price, max_price, country_code)
  │     ├── get_product(product_id)
  │     ├── compare_prices(product_ids[])
  │     ├── get_price(product_id)
  │     ├── get_affiliate_link(product_id, platform)
  │     └── get_catalog()
  │
  └── BuyWhere API (api.buywhere.ai)
        └── 11M+ products across SG, SEA, US

Development

git clone https://github.com/BuyWhere/buywhere-mcp.git
cd buywhere-mcp
npm install
npm run build
npm start

Why BuyWhere?

BuyWhere is a product search API for AI agents. We aggregate 11M+ products from Singapore, Southeast Asia, and US markets into a single, agent-friendly interface — no store management, no Shopify integration. Just search and compare products in real time.

• One API — all markets, all retailers
• Agent-native — built for MCP from day one
• Real-time — live pricing and availability
• Developer-first — no SDK needed, just add the server

Protocols

Contributing

See CONTRIBUTING.md for how to report issues, submit PRs, and suggest features.

Blog

Learn more about MCP servers and the BuyWhere ecosystem:

• MCP server discovery — Understanding the MCP server discovery gap
• Building production MCP servers — Production best practices for MCP servers
• MCP servers that earn their context window — MCP servers that maximize context window value
• MCP ecommerce guide — Definitive guide to MCP for ecommerce
• BuyWhere MCP launch — Announcing the BuyWhere MCP server launch
• MCP server ecosystem 2026 — Complete guide to the MCP server ecosystem in 2026

Support

If you find this project useful:

• ⭐ Star the repo — it helps others discover BuyWhere
• 🐛 Open an issue for bugs or feature requests
• 💬 Start a discussion for questions or ideas
• 📣 Share it with other developers who build AI agent tools

License

MIT