Senechal MCP Server

A Model Context Protocol (MCP) server that acts as a companion to the Senechal project, providing health data from the Senechal API to LLM applications.

Overview

This server provides a standardized interface for LLMs to access health data from the Senechal API. It exposes:

• Resources: Health data that can be loaded into an LLM's context
• Tools: Functions that can be called by LLMs to fetch health data
• Prompts: Reusable templates for analyzing health data

Installation

1. Clone this repository

2. Create a virtual environment:

python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Configuration

Copy the .env.example file to .env and add your Senechal API key and URL:

# Required: Senechal API Key
SENECHAL_API_KEY=your_api_key_here

# Required: API base URL
SENECHAL_API_BASE_URL=https://your-api-host/api/senechal

Both the API key and API URL are required for the server to function.

Windows Configuration

When running on Windows, be sure to:

1. Use backslashes or properly escaped paths in the configuration

2. Use the full path to your Python virtual environment in the claude-desktop-config.json:

{
    "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"
            }
        }
    }
}

Note that environment variables in the MCP configuration do not use the .env file, so you'll need to set them explicitly in the config.

Usage

Testing the Client/Server Setup

The simplest way to test the setup is to run the example client:

# In one terminal, start the server
python senechal_mcp_server.py

# In another terminal, run the example client
python example_client.py

Start the Server

python senechal_mcp_server.py

Development Mode with MCP Inspector

mcp dev senechal_mcp_server.py

Install in Claude Desktop

The server includes a configuration file for Claude Desktop:

mcp install senechal_mcp_server.py

You can then select "Senechal Health" from the tools menu in Claude Desktop.

Available Resources

• senechal://health/summary/{period} - Get health summary for day, week, month, or year
• Example: senechal://health/summary/day?span=7&metrics=all
• Parameters:
• period: day, week, month, year
• span: Number of periods (default: 1)
• metrics: Comma-separated list or "all" (default)
• offset: Number of periods to offset from now (default: 0)

• senechal://health/profile - Get the user's health profile
• Contains demographics, medications, supplements

• senechal://health/current - Get current health measurements
• Example: senechal://health/current?types=1,2,3
• Parameters:
• types: Optional comma-separated list of measurement type IDs

• senechal://health/trends - Get health trends over time
• Example: senechal://health/trends?days=30&types=1,2,3&interval=day
• Parameters:
• days: Number of days to analyze (default: 30)
• types: Optional comma-separated list of measurement type IDs
• interval: Grouping interval - day, week, month (default: day)

• senechal://health/stats - Get statistical analysis of health metrics
• Example: senechal://health/stats?days=30&types=1,2,3
• Parameters:
• days: Analysis period in days (default: 30)
• types: Optional comma-separated list of measurement type IDs

Available Tools

• fetch_health_summary - Fetch a health summary for a specific period
• Parameters:
• period (required): day, week, month, year
• metrics (optional): Comma-separated metrics or "all" (default)
• span (optional): Number of periods to return (default: 1)
• offset (optional): Number of periods to offset (default: 0)

• fetch_health_profile - Fetch the user's health profile
• No parameters required

• fetch_current_health - Fetch the latest health measurements
• Parameters:
• types (optional): List of measurement type IDs to filter by

• fetch_health_trends - Fetch health trend data
• Parameters:
• days (optional): Number of days to analyze (default: 30)
• types (optional): List of measurement type IDs to filter by
• interval (optional): Grouping interval - day, week, month (default: day)

• fetch_health_stats - Fetch statistical analysis of health metrics
• Parameters:
• days (optional): Analysis period in days (default: 30)
• types (optional): List of measurement type IDs to filter by

Available Prompts

• analyze_health_summary - Prompt to analyze health summaries
• Provides a template for identifying abnormal metrics, trends, and suggesting actions
• Intended to be used with data from senechal://health/summary/day?span=7

• compare_health_trends - Prompt to compare health trends over different time periods
• Provides a template for comparing trends across different timeframes (7, 30, 90 days)
• Intended to be used with data from the health trends endpoint

Example Interactions

Loading Health Summary Data

# In an LLM application, load a week of health summaries
content, mime_type = await session.read_resource("senechal://health/summary/day?span=7")

Calling Health Data Tools

# In an LLM conversation
result = await session.call_tool(
    "fetch_health_trends", 
    arguments={
        "days": 30, 
        "interval": "day"
    }
)

# More complex example combining tools and resources
profile = await session.call_tool("fetch_health_profile")
trends = await session.call_tool(
    "fetch_health_trends", 
    arguments={"days": 90, "interval": "week"}
)

Using Health Analysis Prompts

# Get a prompt for analyzing health data
prompt_result = await session.get_prompt("analyze_health_summary")
for message in prompt_result.messages:
    print(f"[{message.role}]: {message.content.text}")

See the example_client.py file for a complete working example.

API Endpoints

The Senechal MCP server communicates with the following Senechal API endpoints:

• /health/summary/{period} - Get health summaries
• /health/profile - Get health profile
• /health/current - Get current measurements
• /health/trends - Get health trends
• /health/stats - Get health stats

Changelog

See CHANGELOG.md.