HowToCook-mcp
worryzyy/HowToCook-mcp
An MCP (Model Context Protocol) server based on Anduin2017/HowToCook, allowing AI assistants to recommend recipes, plan meals, and solve the age-old question of "what should I eat today?".
Health & Wellness · Developer Tools
Fhir-MCP
Kushagra-Dutta/Fhir-MCP
A comprehensive FHIR (Fast Healthcare Interoperability Resources) server and toolkit designed for healthcare data integration, patient care planning, and clinical decision support. This project provides a universal interface to multiple FHIR servers with advanced AI-powered clinical analysis capabilities.
Install
docker run -d -p 9090:4080 --name firely.server -v %CD%/firelyserver-license.json:/app/firelyserver-license.json firely/serverClient configuration
{
"mcpServers": {
"fhir-server": {
"command": "python",
"args": [
"fhir_server.py"
],
"env": {
"OPENAI_API_KEY": "<OPENAI_API_KEY>"
}
}
}
}Environment variables
OPENAI_API_KEYGOOGLE_GENERATIVE_AI_API_KEYANTHROPIC_API_KEYXAI_API_KEYOPENROUTER_API_KEYOLLAMA_BASE_URLBETTER_AUTH_SECRETBETTER_AUTH_URLPOSTGRES_URLFILE_BASED_MCP_CONFIGGOOGLE_CLIENT_IDGOOGLE_CLIENT_SECRET- Author
- @Kushagra-Dutta
- Category
- Health & Wellness, Developer Tools
- License
- MIT
- Updated
- Oct 6, 2026
Features
Universal FHIR Interface: Connect to multiple FHIR servers (Epic, Cerner, HAPI, Firely, etc.)
Real-time Connectivity Testing: Automatic server health checks and diagnostics
Intelligent Failover: Automatic switching between servers for optimal performance
OpenAI Integration: Extract clinical keywords and concepts from free text
Semantic Mapping: Map clinical terms to standardized FHIR codes
Similar Patient Matching: Find patients with similar clinical profiles
Predictive Analytics: Generate care recommendations based on historical data
Complete Patient Records: Demographics, conditions, medications, procedures, encounters
Vital Signs & Lab Results: Categorized observations with time-series data
Tools (8)
Vendor-Agnostic
Standardized API regardless of underlying FHIR server implementation
extract_condition_codes_from_fhir
Extract all condition codes
get_server_registry
Get complete server registry
clear_condition_cache
Clear condition codes cache
get_condition_cache_stats
Get cache performance statistics
v0.1.0
Initial release with core FHIR functionality
v0.2.0
Added AI-powered clinical analysis
v0.3.0
Enhanced multi-server support and caching
Details on this page are taken from the project's README. Open README
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