Basic MCP Server
B

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.
2 points
4.6K

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 management
Provides functions for model loading, unloading, and status query
Remote inference
Perform remote model inference through the API interface
Hot reload
Supports the hot reload function during development (--reload parameter)
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
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 environment
Quickly test AI models in the local development environment
Remote inference service
Provide 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

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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