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INDIAN MEDICINES (MCP SERVER)

@nowitsidb

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

nowitsidb

关于 INDIAN MEDICINES

A comprehensive API server for medicine information lookup, alternative suggestions, and composition analysis. This server provides multiple endpoints for searching, filtering, and analyzing medicine data with advanced features like fuzzy matching and price comparison.

#medicine#api#healthcare

INDIAN MEDICINES 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "INDIAN_MEDICINE_MCP_SERVER": {
      "command": "python",
      "args": [
        "medicines_server.py"
      ]
    }
  }
}

INDIAN MEDICINES 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is INDIAN MEDICINES (MCP SERVER)?

INDIAN MEDICINES (MCP SERVER) is a comprehensive API server for medicine information lookup, alternative suggestions, and composition analysis. It provides multiple endpoints for searching, filtering, and analyzing medicine data with features like fuzzy matching and price comparison. The server is built for healthcare professionals, patients, and researchers who need quick access to Indian medicine details, alternatives, and pricing.

How to use INDIAN MEDICINES (MCP SERVER)?

Clone the repository, install dependencies from requirements.txt, prepare a JSON data file of medicines (default path /Users/siddharthbajpai/Downloads/MCP_SERVER/medicines.json), and run python medicines_server.py. Interact with the server using any MCP client, for example via MCPClient("medicines-db") and calling endpoints like search_medicines("paracetamol") or suggest_alternatives("Dolo 650").

Key features of INDIAN MEDICINES (MCP SERVER)

  • Exact and fuzzy name matching for medicines
  • Composition/ingredient-based search and analysis
  • Multi-criteria filtering with pagination
  • Alternative medicine suggestions with price comparison
  • Prescription requirement filtering
  • Performance optimizations with multiple indexing and precomputed ingredients

Use cases of INDIAN MEDICINES (MCP SERVER)

  • Searching for a medicine by name or ingredient to get detailed info (composition, MRP, manufacturer)
  • Finding cheaper alternatives to a prescribed medicine
  • Analyzing a composition string to extract structured ingredient data
  • Filtering medicines by price range, manufacturer, or prescription requirement
  • Obtaining statistical overview and categorization of the medicines database

常见问题

1

What does the server do?

It provides a comprehensive API for searching, filtering, and analyzing Indian medicine data, including fuzzy name matching, composition analysis, and alternative suggestions with price savings.

2

What data does the server use?

The server loads a JSON file of medicines. The default path is `/Users/siddharthbajpai/Downloads/MCP_SERVER/medicines.json`. Each medicine record includes fields like Name, Manufacturer, Composition, MRP, Prescription requirement, and processed fields like Active_Ingredients and Price_Category.

3

How many API endpoints are available?

The server exposes 15 endpoints divided into search, filter, analysis, and utility categories. Endpoints include `get_medicine_by_name`, `search_medicines`, `fuzzy_search_by_name`, `search_by_composition`, `filter_by_price_range`, `filter_by_manufacturer`, `filter_by_prescription_requirement`, `paginated_search`, `find_similar_medicines`, `analyze_composition`, `count_medicines_by_composition`, `categorize_medicines`, and `get_medicine_statistics`.

4

What are the runtime requirements?

The server runs on Python 3.8+ and uses the FastMCP framework. Dependencies include `difflib`, `re`, `collections`, `math`, `typing`, and `dataclasses`. No authentication or special transport configuration is mentioned; it communicates via the MCP protocol.

5

What are the main limitations?

The server’s performance depends on the size of the JSON dataset. Fuzzy search uses a similarity threshold (default 0.6) to control result relevance, and pagination is limited by the `page_size` parameter. The data is local and not automatically updated.

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