Senechal MCP Server
About
Thi sis a companion MCP server for the Senechal project
Details
- Author
- mattjoyce
- Downloads
- 123
- Categories
- Other
Jump to
- Provides health data from the Senechal API to LLMs.
- Exposes resources, tools, and prompts for health data.
- Supports customizable health summary queries.
- Includes health profile and current measurements.
- Offers trend analysis and statistical metrics.
- Ready for Claude Desktop integration.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Senechal MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, install dependencies in a virtual environment, and configure the .env file with SENECHAL_API_KEY and SENECHAL_API_BASE_URL. Run the server with python senechal_mcp_server.py, or install in Claude Desktop using mcp install senechal_mcp_server.py.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"senechal mcp server": {
"senechal-mcp": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}
}
McpServers
{
"senechal-mcp": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
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:
```
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