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Basic MCP Server
A basic MCP server project that provides installation and operation guides, including cloning the repository, installing dependencies, configuring environment variables, and starting the service.
rating : 2 points
downloads : 12
What is the Basic MCP Server?
The Basic MCP Server is a lightweight Python-based server that implements the Model Context Protocol (MCP) standard. It allows users to remotely manage and invoke AI models through simple API interfaces.How to use the Basic MCP Server?
The server can be deployed through simple installation steps, and then users can interact with the server via HTTP requests to perform operations such as model loading and inference.Applicable scenarios
Suitable for scenarios that require remote management of AI models, such as cloud model services, multi-node model deployment, and model testing environments.Main features
Model managementProvides functions for model loading, unloading, and status query
Remote inferencePerform remote model inference through the API interface
Hot reloadSupports the hot reload function during development (--reload parameter)
Advantages and limitations
Advantages
Easy to use and quick to deploy
Supports hot reload for easy development and debugging
Based on the standard MCP protocol with good compatibility
Limitations
Relatively basic functions, lacking advanced management features
Currently, there is less documentation, and the learning curve may be steep
Limited performance optimization space
How to use
Clone the code repository
Get the server source code from GitHub
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Install the uv tool
Install the Python package management tool uv
Install dependencies
Use uv to install all necessary Python dependencies
Configure environment variables
Configure the required environment variables according to the example in the.env.copy file
Start the server
Start the development server using uvicorn
Usage examples
Model testing in the development environmentQuickly test AI models in the local development environment
Remote inference serviceProvide remote model inference services for mobile applications
Frequently Asked Questions
How to check if the server is running normally?
Why is it necessary to install the uv tool?
How to configure the production environment?
Related resources
GitHub repository
Project source code and latest updates
uv documentation
Documentation for using the uv tool
MCP protocol specification
Official documentation of the Model Context Protocol
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