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ManaMurah MCP Server

by manamurah
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JavaScript
MIT License
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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

🇲🇾 Official 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
🎯 Claude Desktop Ready - One-click setup for Claude Desktop integration

Live Demo

The MCP server is deployed and accessible at:

Quick Start

Deploy to Cloudflare Workers

# Clone or create from template npm create cloudflare@latest manamurah-mcp-server --template=cloudflare/ai/demos/remote-mcp-authless # Replace src/ contents with ManaMurah implementation # (Copy files from this directory) # Install dependencies npm install # Deploy to Cloudflare Workers npm run deploy

Connect to Claude Desktop

  1. Get your deployed Workers URL (e.g., https://mcp.manamurah.com)

  2. Add to Claude Desktop MCP configuration:

{ "manamurah": { "command": "node", "args": ["/path/to/mcp-client.js"], "env": { "MCP_SERVER_URL": "https://mcp.manamurah.com/sse" } } }

  1. Restart Claude Desktop

  2. Start asking about Malaysian prices!

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:

  • 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

Development

Local Development

# Install dependencies npm install # Start development server npm run dev # Type checking npm run type-check # Linting npm run lint

Project Structure

src/ ├── index.ts # Main MCP server implementation ├── utils/ │ ├── api-client.ts # ManaMurah API client │ ├── query-parser.ts # Natural language query parsing │ ├── response-formatter.ts # MCP response formatting │ └── rate-limiter.ts # Rate limiting implementation └── types/ └── manamurah.ts # TypeScript type definitions

Configuration

Environment variables in wrangler.toml:

[vars] MANAMURAH_API_BASE = "https://api.manamurah.com" RATE_LIMIT_ENABLED = "true" CACHE_TTL = "300" MAX_QUERIES_PER_MINUTE = "10" MAX_QUERIES_PER_HOUR = "100"

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

Contact

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.

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

An AI-optimized Model Context Protocol server for querying Malaysian consumer goods prices from official KPDN Pricecatcher data, enabling natural language price searches and comparisons across regions.

  1. Features
    1. Live Demo
      1. Quick Start
        1. Deploy to Cloudflare Workers
        2. Connect to Claude Desktop
      2. Available Tools
        1. 🔍 get_malaysian_prices
        2. 📊 compare_prices
        3. 📈 analyze_price_trends
        4. 💡 get_market_insights
      3. Example Usage
        1. Basic Price Search
        2. Price Comparison
      4. Development
        1. Local Development
        2. Project Structure
        3. Configuration
      5. Rate Limits
        1. Features
          1. Natural Language Processing
          2. Rich Response Formatting
          3. Error Handling
        2. Data Source
          1. Support
            1. Getting Help
            2. Contact
          2. License
            1. Contributing

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