@manamurah/mcp-server v1.0.1
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
š²š¾ Daily Malaysian Price Data - KPDN Pricecatcher data via OpenDOSM
š¤ AI-Optimized - Natural language queries with intelligent parsing
ā” Serverless - Deployed on Cloudflare Workers for global performance
š Rate Limited - Built-in abuse protection and fair usage
š Rich Analytics - Price comparisons, trends, and market insights
Settings
{
"manamurah": {
"command": "npx",
"args": ["-y", "@manamurah/mcp-server@latest"]
}
}Available Tools
š 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"
š 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
š analyze_price_trends
Analyze price trends and market patterns over time.
Examples:
- Price volatility analysis
- Seasonal price patterns
- Regional market trends
š” 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:
š Summary: Rice prices in Kuala Lumpur range from RM15.20-RM25.80 per 5kg
š” Key Insights:
⢠Hypermarkets offer 18% lower prices than convenience stores
⢠Significant price variation exists across different retailers
š 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:
š 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
š” Comparison Insights:
⢠Most Affordable: Penang (RM8.20 average)
⢠Potential Savings: RM0.90 (9.9%) by choosing PenangRate 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: support@manamurah.com
- AI Integration: ai-support@manamurah.com
- Enterprise: enterprise@manamurah.com
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 ā¤ļø for the Malaysian data community
Making Malaysian price data accessible to AI tools and researchers worldwide.