Eka MCP Server

by eka-care

19 174 downloads Not rated yet MIT
GitHub

About

Access medical knowledge-bases and drug information from eka.care. Requires API credentials.

Details

License
MIT

Explore

- Indian branded drug search across 500,000+ drugs
- Indian treatment protocol search with 180+ protocols
- Curated by in-house doctors at eka.care
- Reduces hallucinations by grounding in verified data
- Integrates with the MCP open standard
- Supports Claude, Cursor, and Windsurf applications

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Eka MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

1. Install UV - https://docs.astral.sh/uv/getting-started/installation/#installation-methods
2. Install Claude desktop application - https://claude.ai/download
3. Locate the configuration file:
- macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%/Claude/claude_desktop_config.json

In case the file does not exist, create a new file named claude_desktop_config.json in the above directory.
4. Modify/Create the configuration file with the following settings:

{
  "mcpServers": {
    "eka-mcp-server": {
      "command": "uvx",
      "args": [
        "eka_mcp_server",
        "--eka-api-host",
        "https://api.eka.care",
        "--client-id",
        "<client_id>",
        "--client-secret",
        "<client_secret>"
      ]
    }
  }
}
5. Replace the placeholder values: - <client_id>: Your client ID - <client_secret>: Your client secret

> EKA MCP server tools are curated by the in-house doctors at eka.care and have been validated on an internal set of questionnaire

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "eka mcp server": {
            "eka_mcp_server": {
                "command": "npx",
                "args": [
                    "@modelcontextprotocol/inspector",
                    "uvx",
                    "eka_mcp_server",
                    "--eka-api-host",
                    "https://api.eka.care",
                    "--client-id",
                    "<client_id>",
                    "--client-secret",
                    "<client_secret>"
                ]
            }
        }
    }
}

McpServers

{
    "eka_mcp_server": {
        "command": "npx",
        "args": [
            "@modelcontextprotocol/inspector",
            "uvx",
            "eka_mcp_server",
            "--eka-api-host",
            "https://api.eka.care",
            "--client-id",
            "<client_id>",
            "--client-secret",
            "<client_secret>"
        ]
    }
}
License: MIT PyPI - Version Downloads

Overview

Eka Care's Model Context Protocol (MCP) server facilitates interaction with medical knowledge-bases specifically curated for the Indian healthcare context. While advanced models from Claude, OpenAI, and others can perform adequately in medical contexts, their responses often lack grounding in factual information and published references. Additionally, India faces a significant challenge with the absence of centralized repositories for branded medications in the public domain.

The Eka MCP Server addresses these challenges by providing structured access to curated knowledge-bases through specialized tools:

Indian Branded Drug Search: Enables lookup across 500,000+ branded drugs available in India, returning comprehensive metadata including generic composition and manufacturer information to enhance LLM responses.
Indian Treatment Protocol Search: Provides contextual access to over 180 treatment protocol documents published by authoritative Indian healthcare institutions such as ICMR and RSSDI.

Key Benefits:
🩺 Medical Accuracy: Grounds AI responses in verified healthcare information
🔄 Seamless Workflow: Provides critical information without requiring context switching
🛡️ Reduced Hallucinations: Relies on curated medical data rather than AI's implicit general knowledge
🌐 Open Ecosystem: Integrates with the growing MCP open standard

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.