Skip to main content

Amazon MCP server to search & buy across thousands of online stores

Project description

Agora MCP

An MCP server for searching, discovering, and purchasing products through AI assistants like Claude or Cursor.

What is Agora MCP?

Agora MCP connects AI assistants to SearchAgora - a universal product search engine that helps you discover and buy products from across the web. With this MCP, you can seamlessly search for products, compare options, manage your shopping cart, and complete purchases directly through your AI assistant.

Prerequisites

Setting Up the MCP Server

For Cursor

  1. Open Cursor and go to Settings
  2. Navigate to MCP Server Configuration
  3. Add the following configuration:
{
  "mcpServers": {
    "Agora": {
      "command": "uvx",
      "args": [
        "agora-mcp"
      ]
    },
    "Fewsats": {
      "command": "env",
      "args": [
        "FEWSATS_API_KEY=YOUR_FEWSATS_API_KEY",
        "uvx",
        "fewsats-mcp"
      ]
    }
  }
}

Make sure to replace YOUR_FEWSATS_API_KEY with your actual API key from Fewsats.

For Claude Desktop

  1. Find the configuration file:

    • On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
    • On Windows: %APPDATA%/Claude/claude_desktop_config.json
  2. Add the following configuration:

"mcpServers": {
  "Agora": {
    "command": "uvx",
    "args": [
      "agora-mcp"
    ]
  },
  "Fewsats": {
    "command": "env",
    "args": [
      "FEWSATS_API_KEY=YOUR_FEWSATS_API_KEY",
      "uvx",
      "fewsats-mcp"
    ]
  }
}

Running a Local Development Version

For development purposes, you can run a local version of the Agora MCP from your own repository:

"Agora": {
  "command": "uv",
  "args": [
    "--directory",
    "/path/to/your/agora-mcp",
    "run",
    "agora-mcp"
  ]
}

Replace /path/to/your/agora-mcp with the actual path to your local Agora MCP repository.

Using Agora MCP With Your AI

Once configured, you can have natural conversations with your AI to search for and purchase products:

Searching for Products

Simply ask your AI to search for products:

Can you find a cool t-shirt for me?

Advanced Search Options

Refine your search with additional parameters:

Show me headphones under $100 sorted by highest rating

The search supports:

  • Price ranges (min/max)
  • Pagination
  • Custom sorting
  • Product filtering

Coming Soon: Shopping Cart & Purchasing

Soon you'll be able to:

Add that red t-shirt to my cart
Show me what's in my cart
Checkout and purchase my items

Supported Features

Currently, Agora MCP supports:

  • Product search with customizable parameters:
    • Search query
    • Results per page
    • Page navigation
    • Price filtering (minimum and maximum)
    • Custom sorting options

Coming soon:

  • Add products to cart
  • View and manage shopping cart
  • Complete purchases
  • Save favorite products
  • Track order status

About SearchAgora

SearchAgora is a universal product search engine that helps you discover products from across the web. It offers a seamless shopping experience with comprehensive product information, price comparisons, and streamlined checkout processes.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

amazon_mcp-0.1.0.tar.gz (23.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

amazon_mcp-0.1.0-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file amazon_mcp-0.1.0.tar.gz.

File metadata

  • Download URL: amazon_mcp-0.1.0.tar.gz
  • Upload date:
  • Size: 23.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.3

File hashes

Hashes for amazon_mcp-0.1.0.tar.gz
Algorithm Hash digest
SHA256 6daec15c1e2d2b5b4ef1ebd7233b97bee451810c8756d0b4d68ca668fb3af73c
MD5 ae96ed7979e503d23388f5f033be6e8a
BLAKE2b-256 1e9a3a1dfbc5cceefc124b24856dd996cb72da14ce4770ce08a1802610746831

See more details on using hashes here.

File details

Details for the file amazon_mcp-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for amazon_mcp-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3b86faafa67a6bc6ae1a58211e069d245f995912ef1d7dc9055b8f3f22d42898
MD5 e623b8f19f0d526f73d95fa8bf83e94a
BLAKE2b-256 34e2ef894ec8c4640b88f93343d48b19e947e9a7a1bfcc386460f4fa1f75ef2d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page