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Notfallmedicare-Planner-MCP-Server
Notfallmedicare-Planner-MCP-Server
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Emergency Medicare Management MCP Server
(@manolaz/emergency-medicare-planner-mcp-server)
A powerful Model Context Protocol (MCP) server that integrates with Google Maps to locate and evaluate medical facilities in emergency situations. This server helps users find appropriate hospitals and clinics within 10km radius based on specific medical needs, emergency level, and facility capabilities.
The system provides real-time routing, availability checks, and detailed information about medical services, helping patients make informed decisions during urgent healthcare situations.
Key Feature: Sequential Thinking for Medical Evaluation - Enables step-by-step clinical reasoning for more accurate medical facility matching based on patient symptoms and medical history.
Installation & Usage
Installing via Smithery
To install Emergency Medicare Planner for Claude Desktop automatically:
npx -y @smithery/cli install @manolaz/emergency-medicare-planner-mcp-server --client claude
Installing Manually
# Using npx (recommended)
npx @manolaz/emergency-medicare-planner-mcp-server
# With environment variable for Google Maps API
GOOGLE_MAPS_API_KEY=your_api_key npx @manolaz/emergency-medicare-planner-mcp-server
Or install globally:
# Install globally
npm install -g @manolaz/emergency-medicare-planner-mcp-server
# Run after global installation
GOOGLE_MAPS_API_KEY=your_api_key emergency-medicare-planner-mcp-server
Components
Tools
-
searchMedicalFacilities
- Search for hospitals, clinics, and medical facilities using Google Places API
- Input:
-
query
(string): Search query (e.g., "emergency room", "pediatric clinic") -
location
: Latitude and longitude of patient location -
radius
(optional, default: 10000): Search radius in meters -
specialtyNeeded
(optional): Medical specialty required
-
-
getMedicalFacilityDetails
- Get detailed information about a specific medical facility
- Input:
-
placeId
(string): Google Place ID of the medical facility
-
- Output:
- Hours of operation, services offered, contact information, etc.
-
calculateRouteToFacility
- Calculate fastest route to a medical facility
- Input:
-
origin
: Patient's current location -
facilityId
: Place ID of the destination facility -
transportMode
(optional): Travel mode (driving, walking, transit, ambulance) -
avoidTraffic
(optional): Route planning to avoid traffic
-
-
checkFacilityAvailability
- Check if a facility is currently accepting patients
- Input:
-
facilityId
: Place ID of the medical facility -
emergencyLevel
: Urgency level of the medical situation
-
Configuration
Usage with Claude Desktop
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json
:
{
"mcpServers": {
"emergency-medicare-planner": {
"command": "npx",
"args": ["@manolaz/emergency-medicare-planner-mcp-server"],
"env": {
"GOOGLE_MAPS_API_KEY": "your_google_maps_api_key"
}
}
}
}
Alternatively, you can use the node command directly if you have the package installed:
{
"mcpServers": {
"emergency-medicare-planner": {
"command": "node",
"args": ["path/to/dist/index.js"],
"env": {
"GOOGLE_MAPS_API_KEY": "your_google_maps_api_key"
}
}
}
}
Development
Building from Source
-
Clone the repository
-
Install dependencies:
npm install
-
Build the project:
npm run build
Environment Variables
-
GOOGLE_MAPS_API_KEY
(required): Your Google Maps API key with the following APIs enabled:- Places API
- Directions API
- Geocoding API
- Time Zone API
- Distance Matrix API
Testing
# Run test suite
npm test
# Run with debug logging
DEBUG=emergency-medicare:* npm start
License
This MCP server is licensed under the MIT License. For more details, please see the LICENSE file in the project repository.
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Reviews

user_CLCmNln4
The Emergency Medicare Planner MCP Server by manolaz is an excellent tool for managing emergency healthcare situations. It streamlines planning and coordination efficiently. The well-documented GitHub repository offers a smooth setup and great support for developers. Highly recommended for anyone in the emergency healthcare field!