ManaMurah MCP Server

A Model Context Protocol (MCP) server for Malaysian price data from KPDN Pricecatcher. This server enables direct integration with Claude Desktop and other MCP-compatible AI tools for querying Malaysian consumer goods prices.

Features

🇲🇾 Daily Malaysian Price Data - KPDN Pricecatcher data via OpenDOSM
🤖 AI-Optimized - Natural language queries with intelligent parsing
⚡ Serverless - Deployed on Cloudflare Workers for global performance
🔒 Rate Limited - Built-in abuse protection and fair usage
📊 Rich Analytics - Price comparisons, trends, and market insights

Settings

{
  "manamurah": {
    "command": "npx",
    "args": ["-y", "@manamurah/mcp-server@latest"]
  }
}

Available Tools

🔍 get_malaysian_prices

Search for current prices with natural language queries.

Examples:

• "rice prices in Kuala Lumpur"
• "cheapest chicken in Penang hypermarkets"
• "cooking oil under RM20 in Selangor"

📊 compare_prices

Compare prices across different regions or retail chains.

Examples:

• Harga betik di Selangor
• Compare rice prices between KL and Penang
• Find price differences across retail chains
• Regional price analysis for specific items

📈 analyze_price_trends

Analyze price trends and market patterns over time.

Examples:

• Price volatility analysis
• Seasonal price patterns
• Regional market trends

💡 get_market_insights

Get market intelligence and insights about price anomalies.

Examples:

• Recent price changes
• Market anomaly detection
• Regional price differences

Example Usage

Basic Price Search

User: "What are rice prices in Kuala Lumpur?"

MCP Response:
📊 Summary: Rice prices in Kuala Lumpur range from RM15.20-RM25.80 per 5kg

💡 Key Insights:
• Hypermarkets offer 18% lower prices than convenience stores
• Significant price variation exists across different retailers

📈 Price Statistics:
• Average: RM18.50
• Range: RM15.20 - RM25.80
• Price Variation: 32%

[Detailed price listings follow...]

Price Comparison

User: "Compare chicken prices between Penang and Johor"

MCP Response:
📊 Summary: Penang has lower average chicken prices (RM8.20) compared to Johor (RM9.10)

## Regional Comparison

### 1. Penang
• Average Price: RM8.20
• Price Range: RM7.50 - RM9.80
• Sample Size: 15 price points

### 2. Johor
• Average Price: RM9.10
• Price Range: RM8.20 - RM11.50
• Sample Size: 12 price points

💡 Comparison Insights:
• Most Affordable: Penang (RM8.20 average)
• Potential Savings: RM0.90 (9.9%) by choosing Penang

Rate Limits

• Per Minute: 10 requests
• Per Hour: 100 requests
• Automatic Cleanup: Old request data is cleaned up automatically

Rate limits help ensure fair usage and prevent abuse while allowing genuine research and analysis.

Features

Natural Language Processing

• Intelligent extraction of items, locations, and price constraints
• Support for Malaysian terms (e.g., "beras" for rice, "ayam" for chicken)
• Price range detection ("under RM20", "between RM10 and RM15")
• Location recognition for all Malaysian states and major cities

Rich Response Formatting

• Markdown-formatted responses optimized for Claude Desktop
• Statistical analysis with averages, ranges, and insights
• Suggested follow-up questions for continued exploration
• Data source attribution and freshness indicators

Error Handling

• User-friendly error messages with helpful suggestions
• Graceful degradation when data is unavailable
• Query improvement recommendations
• Comprehensive error logging for debugging

Data Source

Official Government Data: KPDN Pricecatcher program via OpenDOSM

• Daily data updates (subject to government publication schedules)
• Comprehensive coverage of Malaysian retail prices
• Data includes hypermarkets, supermarkets, convenience stores, and grocery shops
• Covers all Malaysian states and major urban centers

Support

Getting Help

• Documentation: api.manamurah.com/docs
• AI Integration Guide: Complete guide for AI developers
• Issues: GitHub Issues

Contact

• General Support: [email protected]
• AI Integration: [email protected]
• Enterprise: [email protected]

License

MIT License - see LICENSE file for details.

Contributing

Contributions welcome! Please read our contributing guidelines and submit pull requests for any improvements.

Built with ❤️ for the Malaysian data community

Making Malaysian price data accessible to AI tools and researchers worldwide.