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: venv\Scripts\activate
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, 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
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
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