
Bargainer MCP Server
A Model Context Protocol server that aggregates and compares deals from multiple sources including Slickdeals, RapidAPI marketplace, and web scraping, enabling users to search, filter, and compare deals through a chat interface.
Tools
search_deals
Search for deals across multiple sources based on text query and filters
get_top_deals
Get top/trending deals from all or specific sources
filter_deals
Filter deals using advanced criteria
get_deal_details
Get detailed information about a specific deal
compare_deals
Compare similar deals and find the best options
get_available_sources
Get list of available deal sources/providers
README
Bargainer MCP Client 🛍️
A powerful Model Context Protocol (MCP) client for finding and comparing deals from multiple sources including Slickdeals, RapidAPI marketplace, and web scraping. Features a modern web-based chat interface for interactive deal searching.
Features ✨
- Multi-Source Deal Aggregation: Integrates with Slickdeals API, RapidAPI marketplace, and web scraping
- Interactive Chat Interface: Modern web UI with real-time messaging via Socket.IO
- Intelligent Deal Filtering: Filter by price, rating, store, and category
- Deal Comparison: Compare deals across multiple sources
- MCP Protocol Integration: Full Model Context Protocol implementation with 6 specialized tools
- Provider Pattern Architecture: Extensible design for adding new deal sources
- TypeScript: Fully typed codebase with strict type checking
Quick Start 🚀
Prerequisites
- Node.js 18+
- npm or yarn
- API keys for external services (optional, fallback to mock data)
Installation
# Clone the repository
git clone https://github.com/karthiksivaramms/bargainer-mcp-client.git
cd bargainer-mcp-client
# Install dependencies
npm install
# Build the project
npm run build
Usage
Web Chat Interface
# Start the web interface
npm run web
# Or with auto-reload for development
npm run dev:web
Then open http://localhost:3001 in your browser and start chatting!
MCP Server
# Start the MCP server
npm run dev
# Or run the built version
npm start
Demo & Testing
# Run interactive demo
npm run demo
# Test the server
npm run test:server
Available Commands 💬
Use these natural language commands in the chat interface:
- Search deals: "Find laptop deals under $500"
- Get top deals: "Show me today's top electronics deals"
- Filter deals: "Gaming headphones under $100 with 4+ stars"
- Deal details: "Tell me more about this iPhone deal"
- Compare deals: "Compare iPad deals across sources"
- List sources: "What deal sources are available?"
MCP Tools 🛠️
The server provides 6 specialized tools:
- search_deals - Search for deals by product name or keywords
- get_top_deals - Get trending deals from all sources
- filter_deals - Filter deals by price, rating, store, category
- get_deal_details - Get detailed information about specific deals
- compare_deals - Compare deals across multiple sources
- get_available_sources - List all configured deal sources
Architecture 🏗️
src/
├── server.ts # Main MCP server
├── providers/ # Deal source providers
│ ├── base.ts # Base provider interface
│ ├── slickdeals.ts # Slickdeals API provider
│ ├── rapidapi.ts # RapidAPI marketplace provider
│ └── webscraping.ts # Web scraping provider
├── services/
│ └── aggregator.ts # Deal aggregation service
└── types/ # TypeScript type definitions
ui/
├── index.html # Chat interface
├── chat-interface.js # Frontend JavaScript
└── server.js # Express server with Socket.IO
test/ # Test files
scripts/ # Utility scripts
Contributing 🤝
Contributions are welcome! Please feel free to submit a Pull Request.
Development Setup
# Install dependencies
npm install
# Start development with auto-reload
npm run dev
# Start web interface with auto-reload
npm run dev:web
# Run linting
npm run lint
# Format code
npm run format
Adding New Deal Sources
- Create a new provider in
src/providers/
- Extend
BaseDealProvider
- Implement required methods
- Register in
aggregator.ts
API Documentation 📚
Deal Object Structure
interface Deal {
id: string;
title: string;
price: number;
originalPrice?: number;
discount?: number;
rating?: number;
store: string;
url: string;
imageUrl?: string;
description?: string;
category?: string;
source: string;
timestamp: Date;
}
License 📄
This project is licensed under the MIT License - see the LICENSE file for details.
Author 👨💻
Karthik Sivaram M
- GitHub: @karthiksivaramms
Support 💡
If you have any questions or run into issues, please open an issue on GitHub.
Roadmap 🗺️
- [ ] More deal source integrations
- [ ] Deal alerts and notifications
- [ ] Price history tracking
- [ ] Advanced filtering options
- [ ] Mobile app version
- [ ] Deal sharing features
Made with ❤️ for bargain hunters everywhere!
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.