Senechal MCP Server
by mattjoyce
The Senechal MCP Server provides a standardized interface for LLMs to access health data from the Senechal API. It acts as a companion to the Senechal project, providing health data to LLM applications.
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What is Senechal MCP Server?
The Senechal MCP Server is a Model Context Protocol (MCP) server that exposes health data from the Senechal API to Large Language Model (LLM) applications. It provides resources, tools, and prompts for LLMs to access and analyze health information.
How to use Senechal MCP Server?
To use the server, clone the repository, install dependencies, configure the .env file with your Senechal API key and URL, and then start the server using python senechal_mcp_server.py. You can then interact with the server via the provided resources and tools, or install it in Claude Desktop.
Key features of Senechal MCP Server
Provides health data resources for LLMs
Offers tools for fetching specific health data
Includes reusable prompts for analyzing health data
Integrates with Claude Desktop
Standardized interface for accessing health data
Use cases of Senechal MCP Server
Analyzing health summaries for potential issues
Comparing health trends over different time periods
Integrating health data into LLM-powered health applications
Personalized health recommendations based on user profiles
FAQ from Senechal MCP Server
What is the purpose of the Senechal MCP Server?
What is the purpose of the Senechal MCP Server?
It provides a standardized way for LLMs to access and use health data from the Senechal API.
What are the required configurations for the server?
What are the required configurations for the server?
You need to set the SENECHAL_API_KEY and SENECHAL_API_BASE_URL in the .env file or environment variables.
How can I test the server setup?
How can I test the server setup?
You can run the example client (python example_client.py) to test the connection and data retrieval.
What types of health data resources are available?
What types of health data resources are available?
The server provides resources for health summaries, user profiles, current measurements, health trends, and statistical analysis.
How do I use the available tools?
How do I use the available tools?
You can call the tools using session.call_tool() with the appropriate parameters, as shown in the example interactions.