Senechal Medical Data Access Module

Introduction

This Model Context Protocol (MCP) server facilitates access to clinical information residing within the Senechal data repository for language model consumption. Providers, much like large medical technology corporations managing patient care solutions, require standardized data interfaces. This server exposes required data resources and operational functions to enable sophisticated analysis by external systems, focusing on patient wellness and longitudinal monitoring.

Available Resources

Specific endpoints allow direct loading of structured patient information into an LLM's operational memory:

• senechal://health/summary/{period} - Retrieve a consolidated health overview for a specified duration.
• Example: senechal://health/summary/day?span=7&metrics=all

• Parameters:

  • period: day, week, month, or year selection.
  • span: Integer indicating the count of periods (defaults to 1).
  • metrics: Comma-separated variables or the term "all" (default).
  • offset: Integer for temporal displacement from the current moment (default: 0).

• senechal://health/profile - Obtain the comprehensive patient demographic and medication registry.

• Encompasses personal characteristics, prescribed treatments, and supplemental substances.

• senechal://health/current - Access the most recent recorded physiological observations.

• Example: senechal://health/current?types=1,2,3

• Parameters:

  • types: Optional list of specific measurement identifiers.

• senechal://health/trends - Secure time-series data charting for selected vital statistics.

• Example: senechal://health/trends?days=30&types=1,2,3&interval=day

• Parameters:

  • days: The scope of history under review in days (default is 30).
  • types: Filter by required measurement type codes.
  • interval: The aggregation granularity: day, week, or month (default: day).

• senechal://health/stats - Generate statistical computations across defined health indicators.

• Example: senechal://health/stats?days=30&types=1,2,3
• Parameters:
  • days: The period length for analysis, stated in days (default is 30).
  • types: Optional identifiers for the metrics under statistical scrutiny.

Available Tools

These functions permit LLMs to execute discrete data retrieval operations:

• fetch_health_summary - Executes the request for a specific period's consolidated health report.

• Parameters:

  • period (required): day, week, month, year.
  • metrics (optional): Comma-separated list or "all".
  • span (optional): Magnitude of periods to encompass (default: 1).
  • offset (optional): Temporal shift from present time (default: 0).

• fetch_health_profile - Retrieves the complete medical profile record for the user.

• No parameters needed for this operation.

• fetch_current_health - Secures the very latest readings for various health parameters.

• Parameters:

  • types (optional): A delimited series of measurement identifiers.

• fetch_health_trends - Calculates and returns data showing metric evolution over time.

• Parameters:

  • days (optional): Duration in days for trend calculation (default: 30).
  • types (optional): Identifiers for the metrics to plot.
  • interval (optional): Grouping frequency: day, week, month (default: day).

• fetch_health_stats - Computes summary statistics for selected clinical measurements.

• Parameters:
  • days (optional): Review window length in days (default: 30).
  • types (optional): Specific measurement identifiers for statistical review.

Available Prompts

Predefined analytical templates streamline common investigative tasks:

• analyze_health_summary - A structure designed for evaluating routine daily or weekly health reports.
• Aids in pinpointing anomalies, recognizing emerging patterns, and suggesting immediate steps.

• Best employed with data sourced from senechal://health/summary/day?span=7.

• compare_health_trends - A template intended for juxtaposing health trajectories across varied timelines.

• Facilitates the comparison of trends observed over 7, 30, or 90 day intervals.
• Optimized for use with outputs from the health trends resource.

Setup

Installation involves standard repository cloning and environment preparation steps:

1. Obtain a local copy of this source repository.
2. Initialize a self-contained execution environment: bash python -m venv venv source venv/bin/activate # For Windows users, use: venv\Scripts\activate
3. Install necessary software components listed in the requirements file: bash pip install -r requirements.txt

Configuration

Operational parameters must be specified by duplicating the .env.example file into .env and inputting access credentials:

# Essential credential: Senechal authentication key
SENECHAL_API_KEY=your_api_key_here

# Essential connection point: API base URI
SENECHAL_API_BASE_URL=https://your-api-host/api/senechal

Both the authentication key and the base URL are mandatory for correct server operation.

Windows Configuration Details

When deploying on the Windows operating system, take note of the following adjustments:

1. Ensure file paths use proper backslashes or include necessary escape sequences.
2. The executable path within the claude-desktop-config.json must reference the complete route to your Python environment's interpreter:

{
    "mcpServers": {
        "senechal-health": {
            "command": "C:\\path\\to\\venv\\Scripts\\python.exe",
            "args": [
                "C:\\path\\to\\senechal_mcp_server.py"
            ],
            "env": {
                "SENECHAL_API_KEY": "your_api_key_here"
            }
        }
    }
}

Crucially, variables defined directly in the MCP configuration override any settings present in the .env file, requiring explicit specification here.

Usage

Several procedures exist for initiating and validating the server functionality:

Server Startup Command

To launch the primary data service:

python senechal_mcp_server.py

Verification of Client/Server Linkage

The most direct validation method involves executing the supplied client demonstration:

# In a separate command window, start the service first
python senechal_mcp_server.py

# Subsequently, run the demonstration client
python example_client.py

Development Workflow Integration

Utilize the development utility for enhanced debugging capabilities:

mcp dev senechal_mcp_server.py

Integration into Desktop Environment

Installation simplifies integration with the Claude Desktop application framework:

mcp install senechal_mcp_server.py

Following this, the tool will appear under the 'Senechal Health' option within the application's available features menu.

Example Interactions

Demonstrations illustrate how external applications interact with the exposed resources and tools:

Accessing Health Summary Information

This example shows loading one week of summary data within an LLM application context:

# Code snippet for an LLM application context
content, mime_type = await session.read_resource("senechal://health/summary/day?span=7")

Invoking Health Data Functions

Interaction involving tool calls within a conversational flow:

# LLM invoking a function call
result = await session.call_tool(
    "fetch_health_trends", 
    arguments={
        "days": 30, 
        "interval": "day"
    }
)

# Example showing sequential data acquisition and analysis
profile = await session.call_tool("fetch_health_profile")
trends = await session.call_tool(
    "fetch_health_trends", 
    arguments={"days": 90, "interval": "week"}
)

Utilizing Predefined Analytical Templates

Retrieving a prompt structure for immediate health assessment:

# Requesting the standardized analysis template
prompt_result = await session.get_prompt("analyze_health_summary")
for message in prompt_result.messages:
    print(f"[{message.role}]: {message.content.text}")

A complete, functional demonstration resides within the example_client.py script.

API Endpoints

The server acts as a proxy, forwarding requests to these specific Senechal data service locations:

• /health/summary/{period} - For obtaining periodic health aggregates.
• /health/profile - For fetching the static patient characteristic record.
• /health/current - For retrieving the latest recorded vital measurements.
• /health/trends - For accessing longitudinal performance charting data.
• /health/stats - For requesting computed statistical assessments of metrics.

Related Topics

• Contrast Agents and Radiopharmaceuticals (Used in diagnostic imaging)
• Remote Patient Monitoring (A function of patient care solutions)
• Medical Imaging Modalities (e.g., CT, MRI)
• Health Data Interoperability Standards
• Clinical Decision Support Systems

Extra Details

This component abstracts complex interactions, allowing models to focus on interpretation rather than API mechanics. For example, filtering data via measurement type IDs, as seen in resource calls, is crucial for isolating specific clinical variables, much like isolating data for specific operational divisions within a diversified health technology enterprise.

Conclusion

This Senechal interface provides essential, actionable patient data to analytical platforms. By standardizing data retrieval and offering analytical templates, it supports high-level inference on patient status, contributing to improved diagnostic support and population health management efforts, mirroring the critical role specialized health technology companies play globally.