U

Uv MCP Server

venv-mcp-server is a service that solves the problem that LLMs cannot manage virtual environment dependencies reliably. It realizes the automatic dependency resolution and update of virtual environments through a tool list.
2 points
15

What is venv-mcp-server?

venv-mcp-server is a Model Context Protocol (MCP) server specifically designed to reliably manage Python virtual environments. It solves the problem that large language models (LLMs) are not reliable enough when handling Python dependencies and virtual environment updates.

How to use venv-mcp-server?

The server can be started with simple commands, and it will automatically handle the creation, dependency installation, and update of virtual environments. It can be integrated with tools such as Cline/Claude Desktop.

Use cases

When you need an LLM to assist in Python project development but want to manage project dependencies reliably, venv-mcp-server is the best choice.

Main features

Virtual environment managementAutomatically create and maintain Python virtual environments to ensure project dependency isolation.
Dependency resolutionReliably resolve and install Python package dependencies.
Integration with LLMProvide reliable environment management capabilities for LLMs, making up for the deficiencies of LLMs in this aspect.

Advantages and limitations

Advantages
Solve the problem that LLMs cannot manage dependencies reliably.
Simple and easy to use, only requiring a small amount of configuration.
Based on the efficient uv tool, the installation is fast.
Limitations
Currently only supports Python projects.
Requires the pre - installation of the uv tool.

How to use

Installation
Ensure that the uv tool is installed, and then install venv-mcp-server through uvx.
Configuration integration
Add MCP server configuration in tools such as Cline/Claude Desktop.
Usage
Interact with the server through the integrated tool interface or directly through the command line.

Usage examples

Integration with Claude DesktopConfigure Claude Desktop to use venv-mcp-server to manage the Python project environment.
Command - line usageManage the virtual environment of a specific project directly through the command line.

Frequently Asked Questions

What is the uv tool? Does it need to be installed separately?
Can it be used for non - Python projects?
How to check if the server is running normally?

Related resources

GitHub repository
Project source code and the latest version.
uv documentation
Official documentation of the uv tool.
MCP protocol description
Official description of the Model Context Protocol.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "venv-management-for-my-project": {
      "command": "uvx",
      "args": [
        "--from=git+https://github.com/sparfenyuk/venv-mcp-server.git",
        "venv-mcp-server"
      ]
    }
  }
}
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