🚀 Medical Health MCP Server
The Medical Health MCP (Medical Concept Processor) Server is a comprehensive platform that supports the invocation of various medical - health - related APIs and data processing. Below are the main functions and interface descriptions of this server.
🚀 Quick Start
This server offers a wide range of APIs for different medical - health data queries and processing. You can start by making simple HTTP requests to the provided endpoints or using the programmatic API in Python.
✨ Features
API Functionality
- FDA Drug Information Query: Retrieve detailed information about drugs from the FDA database.
- PubMed Literature Search: Search for relevant medical literature in the PubMed database.
- Health Topic Information Query: Get information on specific health topics.
- Clinical Trial Search: Find ongoing or completed clinical trials based on specific conditions.
- ICD - 10 Code Query: Look up ICD - 10 codes or descriptions.
- General Tool Invocation: Call various tools through a unified interface.
Advanced Features
- Status Monitoring: Real - time monitoring of request rate, service availability, and response time.
- Logging and Tracking: Detailed request logs for debugging and performance optimization.
- Security Authentication: Multiple authentication mechanisms, including API keys, OAuth 2.0, and IP whitelisting.
- Request Caching: Cache results to reduce the overhead of repeated requests.
- Batch Processing: Support for batch data queries to improve efficiency.
- Customized Reports: Generate customized analysis reports with data visualization tools.
- Data Export: Export query results in multiple formats, such as CSV and JSON.
- Intelligent Routing: Automatically distribute requests based on real - time load for efficient service operation.
- Automatic Scaling: Dynamically adjust resource allocation to handle high - concurrency requests.
- Customized Integration: Provide flexible interface configurations for data exchange in multiple protocols and formats.
- Request Priority: Set request priorities to ensure the priority processing of critical tasks.
- Transaction Management: Support ACID principles to ensure data consistency.
- Request Queue: Queue requests to handle high - load situations.
- Scheduled Tasks: Create scheduled tasks for regular data queries or processing.
- Data Visualization: Built - in data visualization tools for intuitive data analysis.
- Report Generation: Automatically generate reports in various formats.
- Data Mining: Discover hidden data patterns and associations.
- Machine Learning Integration: Integrate with external machine - learning models for predictive analysis.
- Real - Time Monitoring: Monitor data in real - time and issue alerts for abnormal situations.
- Automatic Repair: Automatically repair and recover from service failures.
- Security Audit: Provide detailed security logs and auditing for compliance.
- Permission Management: Fine - grained access control based on roles.
- Multi - Tenant Support: Support multi - tenant architecture for different user groups.
- Customized Configuration: Customize service configuration parameters.
- Status Tracking: Track the processing status of requests.
- Dependency Injection: Implement loose - coupling design for better code quality.
- Error Recovery: Automatically detect and recover from partial task or request failures.
- Log Analysis: In - depth analysis of system logs to quickly locate problems.
- Performance Tuning: Optimize system performance with multiple strategies.
- Load Balancing: Automatically distribute requests to different nodes for better overall processing.
- Network Optimization: Optimize network layer performance to reduce data transmission latency and bandwidth consumption.
- Data Compression: Compress returned data to reduce transmission overhead.
- Containerized Deployment: Support containerization technologies (e.g., Docker) for easy deployment and scaling.
- Stateless Design: Adopt a stateless architecture for better scalability and reliability.
- Continuous Integration: Support CI/CD processes for faster development iterations.
- Automated Testing: Built - in automated testing framework to ensure code quality.
- Event - Driven Architecture: Support event - based processing for real - time response.
- Asynchronous Communication: Use asynchronous message queues to improve system throughput and response speed.
- Blockchain Integration: Integrate blockchain technology for data security and immutability.
- Federated Identity Authentication: Implement federated identity authentication across multiple systems.
- Global Load Balancing (GLB): Provide intelligent routing strategies for optimal user experience globally.
- CDN Integration: Integrate with CDNs to accelerate the global distribution of static resources.
- Quantum Computing Interface: Provide an API for quantum computing tasks.
- Edge Computing Support: Support edge - device data processing and decision - making.
- Multimodal Data Fusion: Integrate and analyze multiple data types, such as text, images, and videos.
- Augmented Reality Integration: Provide AR technology support for high - precision medical scenarios.
- Cosmic Simulator Interface: Connect with cosmic simulators for large - scale scientific computing and simulation experiments.
- Deep - Space Communication Protocol: Support special communication protocols for deep - space exploration.
- General Artificial Intelligence Interface (AGI): Interact with AGI systems to explore new possibilities of human - machine collaboration.
- Consciousness Upload Simulation: Provide simulation and computing services related to consciousness upload.
📦 Installation
There is no specific installation process described in the original document.
💻 Usage Examples
Basic Usage
HTTP - Based API
- FDA Drug Information Query
GET /api/fda - drug - info?drug_name=aspirin&search_type=general
GET /api/pubmed - search?query=COVID - 19&max_results=5
Programmatic API (Python)
from mcp_server_api import fda_drug_lookup
result = fda_drug_lookup(drug_name="aspirin", search_type="general")
from mcp_server_api import pubmed_search
results = pubmed_search(query="COVID - 19", max_results=5)
Advanced Usage
Batch Processing
{
"requests": [
{
"name": "fda_drug_lookup",
"arguments": { "drug_name": "aspirin", "search_type": "general" }
},
{
"name": "pubmed_search",
"arguments": { "query": "COVID - 19", "max_results": 5 }
}
]
}
📚 Documentation
API Usage Guide
HTTP - Based API
FDA Drug Information Query
- URL:
GET /api/fda - drug - info
- Parameters:
drug_name
: The name of the drug to query.
search_type
: Query type, optional values are general
, label
, adverse_events
.
- Example Request:
GET /api/fda - drug - info?drug_name=aspirin&search_type=general
PubMed Literature Search
- URL:
GET /api/pubmed - search
- Parameters:
query
: Search keywords.
max_results
: Maximum number of returned results, default is 5.
date_range
: Time range limit, e.g., 5
means literature from the past five years.
Health Topic Information Query
- URL:
GET /api/health - topics
- Parameters:
topic
: The health topic to query.
language
: Language of the returned content, default is en
(English), optional value is es
(Spanish).
Clinical Trial Search
- URL:
GET /api/clinical - trials
- Parameters:
condition
: Name of the disease or medical condition.
status
: Clinical trial status, optional values include recruiting
, completed
, active
, not_recruiting
, all
.
max_results
: Maximum number of returned results, default is 10.
ICD - 10 Code Query
- URL:
GET /api/icd10 - code
- Parameters:
code
: ICD - 10 code to query (optional, if description is provided).
description
: Medical condition description (optional, if code is provided).
max_results
: Maximum number of returned results, default is 10.
General Tool Invocation
- URL:
POST /mcp/call - tool
- Request Body Example:
{
"name": "fda_drug_lookup",
"arguments": {
"drug_name": "aspirin",
"search_type": "general"
},
"session_id": "optional - session - id"
}
Programmatic API
FDA Drug Information Query
fda_drug_lookup(drug_name: str, search_type: str = "general")
- Parameters:
drug_name
: The name of the drug to query.
search_type
: Query type, optional values are general
, label
, adverse_events
.
PubMed Literature Search
pubmed_search(query: str, max_results: int = 5, date_range: str = "")
- Parameters:
query
: Search keywords.
max_results
: Maximum number of returned results, default is 5.
date_range
: Time range limit, e.g., 5
means literature from the past five years.
Health Topic Information Query
health_topics(topic: str, language: str = "en")
- Parameters:
topic
: The health topic to query.
language
: Language of the returned content, default is en
(English), optional value is es
(Spanish).
Clinical Trial Search
clinical_trials_search(condition: str, status: str = "all", max_results: int = 10)
- Parameters:
condition
: Name of the disease or medical condition.
status
: Clinical trial status, optional values include recruiting
, completed
, active
, not_recruiting
, all
.
max_results
: Maximum number of returned results, default is 10.
ICD - 10 Code Query
icd10_code_lookup(code: str = None, description: str = None, max_results: int = 10)
- Parameters:
code
: ICD - 10 code to query (optional).
description
: Medical condition description (optional).
max_results
: Maximum number of returned results, default is 10.
Data Sources
The data of the Medical Health MCP Server is sourced from the following publicly available APIs:
- FDA Drug Information: FDA Drugs API
- PubMed Literature Database: PubMed API
- Clinical Trial Registry: ClinicalTrials.gov API
- ICD - 10 Coding System: WHO ICD - 10 Browser
Advanced Feature Details
Status Monitoring
The server provides real - time status monitoring services, including:
- Request rate statistics.
- Service availability monitoring.
- Response time analysis.
URL: GET /api/status
Logging and Tracking
The system has a built - in logging function that supports detailed request tracking and error troubleshooting.
Security Authentication
Multiple security authentication methods are provided to ensure the security of API calls:
- API key verification.
- OAuth 2.0 token authentication.
- Trusted IP address access control.
Request Caching
Supports result caching to reduce the response time of repeated requests.
Parameter: cache_duration
(in seconds)
Example Request:
GET /api/fda - drug - info?drug_name=aspirin&search_type=general&cache_duration=3600
Batch Processing
Supports batch data queries to improve processing efficiency.
URL: POST /api/batch - processing
Request Body Example:
{
"requests": [
{
"name": "fda_drug_lookup",
"arguments": { "drug_name": "aspirin", "search_type": "general" }
},
{
"name": "pubmed_search",
"arguments": { "query": "COVID - 19", "max_results": 5 }
}
]
}
Customized Reports
Allows users to generate customized analysis reports and provides data visualization tools.
URL: POST /api/custom - report
Data Export
Supports exporting query results in multiple formats for further processing and analysis.
Parameter: format
(optional values: csv, json)
Intelligent Routing
Automatically distributes requests based on real - time load to ensure efficient service operation.
Automatic Scaling
Supports dynamic adjustment of resource allocation to handle high - concurrency requests.
Customized Integration
Provides flexible interface configurations to support data exchange in multiple protocols and formats.
Request Priority
Allows users to specify request priorities to ensure the priority execution of critical tasks.
Parameter: priority
(optional values: low, medium, high)
Transaction Management
Supports the ACID (Atomicity, Consistency, Isolation, Durability) principles to ensure data operation consistency.
Request Queue
Supports request queuing to ensure that all requests are processed under high - load conditions.
URL: POST /api/queue
Scheduled Tasks
Allows users to configure scheduled tasks for regular data queries or other operations.
Data Visualization
Built - in data visualization interface for easy data exploration and analysis.
Access Path: /api/data - visualization
Report Generation
Supports custom report templates to generate reports that meet specific requirements.
Data Mining
Built - in data mining algorithms help users discover potential patterns and rules in data.
Machine Learning Integration
Supports integration with external machine - learning models to provide intelligent data processing capabilities.
Real - Time Monitoring
Provides real - time data monitoring to help users keep track of the system's running status.
Access Path: /api/real - time - monitor
Automatic Repair
Supports automated fault detection and repair mechanisms to ensure high system availability.
Security Audit
Built - in security audit module records all user operation logs for security management.
Access Path: /api/security - audit
Permission Management
Supports role - based access control (RBAC) for fine - grained permission management.
Multi - Tenant Support
Provides multi - tenant management functions suitable for scenarios that require regional or departmental management.
Access Path: /api/multi - tenant
Customized Configuration
Allows users to customize service configuration parameters to meet individual needs.
Status Tracking
Provides detailed request processing logs to help users track the operation process.
Access Path: /api/request - tracking
Dependency Injection
Supports interface - based dependency injection to achieve loose - coupling design and improve code quality.
Error Recovery
Automatically detects and recovers from partial task or request failures.
Access Path: /api/error - recovery
Log Analysis
Supports in - depth analysis of system logs to help users quickly diagnose the root cause of problems.
Performance Tuning
Provides multiple performance optimization tools and strategies to help users improve system performance.
Access Path: /api/performance - tuning
Load Balancing
Supports a load - balancing mechanism based on multiple algorithms to ensure efficient and stable service operation.
Network Optimization
Provides network transmission optimization functions to improve data access speed.
Access Path: /api/network - optimization
Data Compression
Supports multiple data compression formats to reduce data transmission volume and save bandwidth resources.
Containerized Deployment
Supports container - based deployment solutions (e.g., Docker) to simplify the operation and maintenance process.
Access Path: /api/container - deployment
Stateless Design
Adopts a stateless architecture design, making the service easier to scale horizontally and recover from failures.
Continuous Integration
Provides continuous integration support to help users implement an efficient software delivery process.
Access Path: /api/ci - cd
Automated Testing
Supports various automated testing scenarios, such as unit testing and integration testing, to ensure code quality.
Event - Driven Architecture
Provides an event - driven processing model suitable for applications that require real - time feedback.
Access Path: /api/event - driven
Asynchronous Communication
Supports an asynchronous message queue mechanism for efficient inter - system communication and task processing.
Blockchain Integration
Provides interfaces and tools for blockchain technology to support secure data sharing and smart contract deployment.
Access Path: /api/blockchain - integration
Federated Identity Authentication
Supports federated identity authentication solutions based on standards such as SAML and OAuth2 to achieve single - sign - on across systems.
Global Load Balancing (GLB)
Provides intelligent routing strategies based on geographical location and traffic to optimize the user experience.
Access Path: /api/glb
CDN Integration
Supports integration with mainstream CDN service providers to achieve efficient distribution and caching of static resources.
Quantum Computing Interface
Provides an API for submitting quantum computing tasks and retrieving results, suitable for tasks requiring super - strong computing power.
Access Path: /api/quantum - computing
Edge Computing Support
Supports data processing and decision - making logic on edge devices, reducing cloud dependency and improving response speed.
Multimodal Data Fusion
Supports the integrated analysis and processing of multiple data types, such as text, images, and videos.
Access Path: /api/multimodal
Augmented Reality Integration
Provides AR technology support for high - precision medical scenarios, such as medical training and surgical navigation.
Cosmic Simulator Interface
Supports API docking with cosmic simulator platforms for research and experiments in astronomy, physics, and other fields.
Access Path: /api/cosmic - simulator
Deep - Space Communication Protocol
Supports special communication protocols designed for deep - space exploration to ensure reliable data transmission in extreme environments.
General Artificial Intelligence Interface (AGI)
Opens an API for docking with general artificial intelligence systems to promote the development and application of AI technology.
Access Path: /api/agi
Consciousness Upload Simulation
Provides consciousness simulation services based on neuroscience and computer science to explore the possibility of digitizing human thinking.
🔧 Technical Details
The server is designed to integrate multiple medical - health data sources and provide a unified API interface. It uses modern web - service technologies to ensure high performance, scalability, and security. The underlying architecture may involve microservices, containerization, and cloud - computing technologies to handle high - volume requests and data processing.
📄 License
There is no license information provided in the original document.