e reference medicine - `max_suggestions` (integer, optional, default=5): Maximum number of alternatives to suggest **Response:** ```json { "reference_medicine": { "Name": "Dolo 650", "MRP": "30.29", ... }, "alternatives": [ { "medicine": { "Name": "Calpol 650", "MRP": "26.50", ... }, "ingredient_similarity": 1.0, "price_difference_percentage": -12.5, "price_comparison": "cheaper", "absolute_price_difference": 3.79 }, ... ] } ``` ## 📊 Data Structure The system expects a JSON array of medicine objects with the following structure: ```json [ { "Name": "Medicine Name", "Manufacturer": "Company Name", "Composition": "Ingredient1 (10mg) + Ingredient2 (20mg)", "MRP": "123.45", "Prescription": "Yes" }, ... ] ``` The system enhances this data with additional computed fields: - `Price_INR`: Formatted price with currency symbol - `Price_Category`: Classification into Low/Medium/High/Premium - `Active_Ingredients`: Extracted list of ingredients - `Ingredient_Count`: Number of active ingredients - `Is_Combination`: Whether the medicine contains multiple ingredients - `Requires_Prescription`: Boolean for prescription requirement - `Prescription_Type`: Human-readable prescription status ## ⚡ Performance Optimizations The server implements several optimizations: 1. **Multiple indices** for fast lookups: - Name index - Manufacturer index - Composition index - Price index - Prescription index 2. **Ingredient extraction** is done once at startup to avoid repeated parsing 3. **Similarity calculations** use efficient algorithms: - SequenceMatcher for string similarity - Jaccard index for ingredient similarity 4. **Price bucketing** for faster range queries ## 🤝 Contributing Contributions are welcome! Here's how you can help: 1. Fork the repository 2. Create a feature branch (`git checkout -b feature/amazing-feature`) 3. Commit your changes (`git commit -m 'Add some amazing feature'`) 4. Push to the branch (`git push origin feature/amazing-feature`) 5. Open a Pull Request Please make sure to update tests as appropriate. ## 📄 License This project is licensed under the MIT License - see the LICENSE file for details. ---

Developed by Siddharth Bajpai

For questions or support, please contact

For medicines data, contact me on LinkedIn

2a:T6fd,## What is INDIAN MEDICINE (MCP SERVER)? INDIAN MEDICINE (MCP SERVER) is a comprehensive API server designed for medicine information lookup, alternative suggestions, and composition analysis. It provides multiple endpoints for searching, filtering, and analyzing medicine data with advanced features like fuzzy matching and price comparison. ## How to use INDIAN MEDICINE (MCP SERVER)? To use the server, clone the repository, install the dependencies, prepare your medicine database, and run the server. You can interact with the server using any MCP client to access its various API endpoints. ## Key features of INDIAN MEDICINE (MCP SERVER)? - Advanced search capabilities with exact and fuzzy name matching. - Composition-based search and multi-criteria filtering. - Analysis tools for composition parsing and statistical analysis. - Medical decision support with alternative suggestions and price comparisons. - Performance optimizations for fast lookups and efficient calculations. ## Use cases of INDIAN MEDICINE (MCP SERVER)? 1. Searching for specific medicines by name or composition. 2. Finding alternative medicines based on composition similarity. 3. Analyzing the composition of medicines for ingredient extraction. 4. Filtering medicines by price range or manufacturer. ## FAQ from INDIAN MEDICINE (MCP SERVER)? - Can I use this API for all types of medicines? > Yes! The API covers a wide range of medicines and provides detailed information. - Is there a limit on the number of API calls? >

INDIAN MEDICINES (MCP SERVER)

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