HuiDiHu/statsWR_mcp_server
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The Model Context Protocol (MCP) server for statsWR is designed to facilitate seamless interaction between the statsWR model and various client applications, providing a robust and efficient communication framework.
The statsWR MCP server is a specialized server implementation that leverages the Model Context Protocol to enable efficient and structured communication between the statsWR model and client applications. This server acts as an intermediary, translating client requests into a format that the statsWR model can process and returning the results in a structured manner. The server is designed to handle multiple concurrent requests, ensuring that the model can be accessed by multiple clients simultaneously without performance degradation. It is built to be highly configurable, allowing users to customize various parameters such as timeout settings and API base URLs to suit their specific needs. The server also includes robust error handling mechanisms to ensure that any issues are promptly identified and addressed, minimizing downtime and ensuring a smooth user experience.
Features
- Concurrent Request Handling: Supports multiple simultaneous client requests without performance loss.
- Configurable Settings: Allows customization of parameters like timeout and API base URL.
- Robust Error Handling: Ensures issues are quickly identified and resolved.
- Structured Communication: Translates client requests into a format the model can process.
- Seamless Integration: Easily integrates with various client applications.
Usages
usage with Claude Desktop
{
"mcpServers": {
"statsWR": {
"command": "/Path/to/uv",
"args": [
"--directory",
"/Path/to/Project/Root/Directory",
"run",
"src/statsWR_mcp_server.py"
]
}
}
}