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
- Clone this repository
- Create a virtual environment:
python -m venv venv source venv/bin/activate # On Windows: venvScriptsactivate - 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:
- Use backslashes or properly escaped paths in the configuration
- 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, yearspan: Number of periods (default: 1)metrics: Comma-separated list or “all” (default)offset: Number of periods to offset from now (default: 0)
- Example:
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
- Example:
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 IDsinterval: Grouping interval - day, week, month (default: day)
- Example:
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
- Example:
Available Tools
fetch_health_summary- Fetch a health summary for a specific period- Parameters:
period(required): day, week, month, yearmetrics(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)
- Parameters:
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
- Parameters:
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 byinterval(optional): Grouping interval - day, week, month (default: day)
- Parameters:
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
- Parameters:
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
Senechal Health
Project Details
- mattjoyce/senechal-mcp
- GNU General Public License v3.0
- Last Updated: 3/8/2025
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