uv-mcp: Real-Time Debugging & Performance Optimization

uv-mcp: The MCP server for real-time Python environment introspection. Boost dev efficiency with seamless debugging & optimization – your code’s sharpest ally.

Visit Repository

✨ Developer Tools

4.2(127 reviews)

190 saves

88 comments

Ranked in the top 9% of all AI tools in its category

About uv-mcp

What is uv-mcp: Real-Time Debugging & Performance Optimization?

uv-mcp is a specialized server implementing the Model Context Protocol (MCP), designed to bridge Python development environments with AI-driven tools. By leveraging the uv package manager, it enables real-time inspection, management, and optimization of Python dependencies and environments. This allows AI assistants to autonomously resolve issues like version conflicts, validate requirements files, and maintain consistency between development and production setups.

Key Features of uv-mcp: Real-Time Debugging & Performance Optimization?

The core capabilities include:

Live Environment Analysis: Dynamically query installed packages, outdated versions, and dependency trees
Conflict Resolution: Proactively identify incompatible package combinations before deployment
Cross-Environment Sync: Compare and synchronize local/remote environments to eliminate drift
Requirement File Intelligence: Parse, validate, and suggest improvements for requirements.txt files
Package Metadata Access: Retrieve PyPI details including licenses, changelogs, and dependency hierarchies

uv-mcp Features

How to Use uv-mcp: Real-Time Debugging & Performance Optimization?

Integration follows these steps:

Install via MCP client: mcp install uv-mcp
Launch the server: uvx uv-mcp
Access resources via standardized URIs like:
- python:packages://installed for installed packages
- python:requirements://./requirements.txt for file analysis
Execute operations through tools like sync() to align environments

Use Cases for Real-Time Optimization

Typical scenarios include:

Automated dependency audits during CI/CD pipelines
Live environment validation before production deployments
Interactive troubleshooting of "works on my machine" issues
Legacy codebase modernization through version compatibility checks

uv-mcp FAQ

FAQ: uv-mcp Implementation

Q: Does this require uv to be installed separately?
A: Yes, uv is the foundational package manager - uv-mcp extends its capabilities through MCP integration

Q: Can it manage virtualenvs?
A: Fully supports virtual environments through context-aware resource resolution

Q: How does it handle security updates?
A: Monitors PyPI advisories and highlights vulnerable packages in dependency graphs

Q: What platforms are supported?
A: Works across Linux, macOS, and Windows development environments

Content

uv-mcp

A Model Context Protocol (MCP) server for interacting with Python installations via uv, the fast Python package installer.

Overview

uv-mcp provides LLMs with direct access to inspect and manage Python environments through the uv package manager. This allows AI assistants to help with Python dependency management, environment inspection, and troubleshooting tasks.

Features

Environment Inspection : Query installed packages and their versions
Dependency Resolution : Check compatibility between packages
Environment Comparison : Identify differences between local and cloud/production environments
Requirement Management : Parse and validate requirements files
Package Information : Retrieve metadata about PyPI packages
Virtual Environment Management : Create and manage virtual environments

How It Works

uv-mcp implements the Model Context Protocol to expose Python environment data and package management functionality through standardized resources and tools.

Resources

python:packages://installed - List of all installed packages and versions
python:packages://outdated - List of installed packages with newer versions available
python:packages://{package_name}/info - Detailed information about a specific package
python:packages://{package_name}/latest - Latest versions available for a package
python:packages://{package_name}/dependencies - List of dependencies for a specific package
python:requirements://{file_path} - Parsed content of requirements files

Tools

list_packages() - List all installed packages
sync() - Sync the current environment with the requirements file
get_package_info(package_name: str) - Get detailed info about a package
check_package_installed(package_name: str) - Check if a package is installed
compare_environments() - Compare two environments
install_package(package_name: str, version: Optional[str]) - Install a package
create_virtualenv(path: str, packages: List[str]) - Create a new virtual environment

Usage

To start the server:

uvx uv-mcp

In Claude Desktop or other MCP-compatible clients, you can install this server with:

mcp install uv-mcp

Development

This project is built with the MCP Python SDK and uv.