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MCP Server Sample
An MCP service project using a Python virtual environment, supporting the addition of functions through command-line tools, including developer tools and resource management capabilities.
rating : 2 points
downloads : 7.3K
What is the MCP server?
The MCP server is a Python-based virtual environment tool specifically designed for managing and interacting with AI models. It provides a convenient development environment that allows users to easily add and manage model resources.How to use the MCP server?
Through a simple command-line interface, users can start the MCP server, add tools and resources, and interact with models.Applicable scenarios
Suitable for AI model development, testing, and interaction scenarios, especially in environments that require rapid prototyping and model testing.Main features
Virtual environment management
Provides functions for creating and managing Python virtual environments to ensure the isolation of the development environment.
Tool addition
Supports adding necessary tools and dependencies through the command line.
Model interaction
Provides a model interaction interface that supports various model operations and tests.
Advantages
A simple and easy-to-use command-line interface
Quickly set up a development environment
Support for multiple model interactions
Limitations
Requires basic command-line knowledge
Currently only supports the Python environment
How to use
Create a virtual environment
Use the uv command to create a Python virtual environment.
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Activate the virtual environment
Activate the created virtual environment to start using it.
Add MCP tools
Add MCP command-line tools to the virtual environment.
Start the MCP server
Start the MCP development server.
Usage examples
Add tools
Add new tools to the server through the MCP interface.
Greeting resource
Use the MCP server to create a greeting resource.
Translation function
Use the MCP server for text translation.
Frequently Asked Questions
How to solve the problem of failed virtual environment activation?
What should I do if I encounter an error when adding tools?
Related resources
Python virtual environment documentation
Python official virtual environment usage guide
MCP project repository
MCP project source code and documentation
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