🔍 BigGo MCP Server

Introduction

BigGo MCP Server utilizes APIs from BigGo, a professional price comparison website.

Features

Product Discovery: Search for products across multiple e-commerce platforms (Amazon, Aliexpress, Ebay, Taobao, Shopee ... etc.)
Price History Tracking: Track product price history by supplying product url or related terms.
Spec Comparison: Compare and find products based on their specifications, from basic infos to more complex technical specs.

Installation

Prerequisites

Python >= 3.10
uvx package manager ( Included with uv )
BigGo Certification (client_id and client_secret) for specification search.

How to obtain BigGo certification?

Register a BigGo account if you don't have one.
Go to BigGo Certification Page
Click "Generate certification" button
Copy the client_id and client_secret
Use them in the MCP Server configuration (BIGGO_MCP_SERVER_CLIENT_ID and BIGGO_MCP_SERVER_CLIENT_SECRET)

{
  "mcpServers": {
    "biggo-mcp-server": {
      "command": "uvx",
      "args": [ "BigGo-MCP-Server"],
      "env": {
        "BIGGO_MCP_SERVER_CLIENT_ID": "CLIENT_ID",
        "BIGGO_MCP_SERVER_CLIENT_SECRET": "CLIENT_SECRET",
        "BIGGO_MCP_SERVER_REGION": "REGION"
      }
    }
  }
}

For specific version use BigGo-MCP-Server@VERSION, ex: BigGo-MCP-Server@0.1.1

Environment Variables

Variable	Description	Default	Choices
`BIGGO_MCP_SERVER_CLIENT_ID`	Client ID	None	Required for specification search
`BIGGO_MCP_SERVER_CLIENT_SECRET`	Client Secret	None	Required for specification search
`BIGGO_MCP_SERVER_REGION`	Region for product search	TW	US, TW, JP, HK, SG, MY, IN, PH, TH, VN, ID

Available Tools

product_search: Product search with BigGo search api
price_history_graph: Link that visualizes product price history
price_history_with_history_id: Uses history IDs from product search results
price_history_with_url: Tracks price history using product URLs
spec_indexes: Lists available Elasticsearch indexes for product specifications
spec_mapping: Shows Elasticsearch index mapping with example documents
spec_search: Query product specifications from Elasticsearch
get_current_region: Get the current region

FAQ

How to trigger tool usage?

For Product Discovery related:

Look for Nike running shoes

For Price History Tracking related:

Show me the price history of this product: https://some-product-url

For Spec Comparison related:

Find me a laptop with 16GB RAM and 1TB SSD

Build

See build.md for more details.

License

This project is licensed under the MIT License. See the LICENSE file for details.