Skip to main content
Read more : (API Reference - MCP for Indian treatment protocol searchs) section.

Core Functionality

Search over 500,000+ branded drugs available in the Indian market. Features
  • Filter by:
    • Drug name
    • Generic composition
    • Dosage form
    • Volume / strength
  • Supports compound generics
    • Example: Glimepiride, Metformin
Returns
  • Drug name
  • Generic name
  • Manufacturer
  • Product type

Access 180+ treatment protocols from authoritative Indian healthcare bodies. Coverage
  • 175 medical conditions / tags
  • Sources include:
    • ICMR
    • RSSDI
    • NPCDCS
    • and other Indian guideline publishers
Workflow
  1. Fetch supported tags / medical conditions
  2. Get available publishers for a selected tag
  3. Search protocols using:
    • Tag
    • Publisher
    • Free-text query
Technology
  • Semantic search powered by AWS Bedrock

3. Indian Pharmacology Details

Pharmacology information grounded in the National Formulary of India (2011). Capabilities
  • Retrieve pharmacology details for generic compositions
  • Supports compound drug searches
    • Example: Rifampicin + Isoniazid

4. Protocol Publishers

Dynamic discovery of supported publishers per medical condition. Examples
  • ICMR
  • RSSDI
  • NPCDCS
  • Additional national and program-specific bodies

Key Capabilities

  • LLM-optimized
    • Strict tool prompts guide LLMs on when and how to invoke APIs
  • Intent confirmation
    • Explicit condition confirmation required before protocol search
  • Hallucination reduction
    • Responses grounded in curated medical databases, not model inference
  • India-specific
    • Tailored to Indian drug markets and healthcare workflows

Limits

  • Python version
    • Requires Python ≥ 3.11
  • API credentials required
  • India-focused
    • Drug database and protocols are specific to Indian healthcare
  • Protocol coverage
    • 175 conditions currently supported (coverage is expanding)
  • No medical advice
    • Informational only; professionals must verify before clinical use

Dependencies

Public Package: eka_mcp_server
mcp[all]>=1.3.0
httpx>=0.28.1
pyjwt>=2.10.0
pillow>=11.0.0

Read more : (API Reference - MCP for Indian treatment protocol searchs) section.