VmLia/books-mcp-server
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The Model Context Protocol (MCP) server is a framework designed to facilitate communication between different components of a machine learning model, allowing for efficient data exchange and process management.
The Model Context Protocol (MCP) server is a robust framework that enables seamless communication and integration between various components of machine learning models. It is designed to handle complex data exchanges and process management tasks, making it an essential tool for developers working with large-scale machine learning projects. The MCP server supports various platforms and can be easily configured to meet specific project requirements. It is particularly useful for projects that require real-time data processing and integration with other systems. The server is highly customizable, allowing developers to tailor its functionality to their specific needs. With its support for multiple protocols and platforms, the MCP server is a versatile tool that can be used in a wide range of applications.
Features
- Seamless integration with various machine learning components.
- Support for real-time data processing and exchange.
- Highly customizable to meet specific project needs.
- Compatible with multiple platforms and protocols.
- Efficient process management and data handling.
Usages
usage with cherry studio method 1
STDIO uv --directory # your project dir run main.py
usage with cherry studio method 2
{
"mcpServers": {
"books-mcp-server": {
"name": "books-mcp",
"type": "stdio",
"description": "",
"isActive": true,
"registryUrl": "",
"command": "uv",
"args": [
"--directory",
"/Enter your local project directory/books-mcp-server",
"run",
"main.py"
]
}
}
}
