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Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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dinlo
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# ⚡ Using MCP Python Manager with uvx
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This guide explains how to use the MCP Python Project Manager server with [`uv`](https://github.com/astral-sh/uv) and `uvx` for faster, simpler execution.
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## Why uvx?
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✅ **No virtual environment setup** - Run directly without `python -m venv`
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✅ **Instant startup** - uv's caching makes repeated runs lightning fast
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✅ **Dependency isolation** - Each run uses isolated dependencies
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✅ **Cross-platform** - Works the same on Windows, macOS, and Linux
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✅ **Automatic updates** - uvx fetches the latest version automatically
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## 🚀 Quick Start
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### Install uv (one-time)
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```cmd
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# Via winget (Windows)
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winget install astral-sh.uv
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# Or via pip
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pip install uv
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# Verify installation
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uv --version
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uvx --version
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```
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### Run the MCP Server
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```cmd
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# Basic run (recommended for MCP clients)
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uvx --from C:/Users/dimir/proects/mcp-python mcp-python-manager
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# With custom workspace
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uvx --from C:/Users/dimir/proects/mcp-python mcp-python-manager --workspace "C:\MyProjects"
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# With debug logging
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uvx --from C:/Users/dimir/proects/mcp-python mcp-python-manager --debug
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# Via SSE transport
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uvx --from C:/Users/dimir/proects/mcp-python mcp-python-manager --transport sse --port 8000
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```
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### Run from Project Directory
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If you're already in the project directory:
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```cmd
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cd C:\Users\dimir\proects\mcp-python
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uvx --from . mcp-python-manager
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```
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## 🔌 Claude Desktop Configuration
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Add to `%APPDATA%\Claude\claude_desktop_config.json`:
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```json
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{
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"mcpServers": {
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"python-manager": {
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"command": "uvx",
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"args": [
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"--from",
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"C:/Users/dimir/proects/mcp-python",
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"mcp-python-manager",
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"--transport",
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"stdio"
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],
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"env": {
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"MCP_PYTHON_WORKSPACE": "C:/Users/dimir/projects",
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"UV_NO_CACHE": "0",
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"UV_LINK_MODE": "copy",
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"PYTHONUNBUFFERED": "1"
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}
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}
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}
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}
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```
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### Environment Variables Explained
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| Variable | Purpose | Recommended Value |
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|----------|---------|------------------|
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| `MCP_PYTHON_WORKSPACE` | Root directory for Python projects | `C:/Users/dimir/projects` |
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| `UV_NO_CACHE` | Disable uv cache (0 = use cache) | `0` |
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| `UV_LINK_MODE` | How uv links packages (`copy`, `symlink`, `hardlink`) | `copy` (safest on Windows) |
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| `PYTHONUNBUFFERED` | Disable Python output buffering | `1` |
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## 🔧 Cursor / VS Code Configuration
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```json
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{
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"mcp": {
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"servers": {
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"python-manager": {
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"type": "stdio",
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"command": "uvx",
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"args": [
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"--from",
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"C:/Users/dimir/proects/mcp-python",
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"mcp-python-manager",
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"--transport",
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"stdio"
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],
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"env": {
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"MCP_PYTHON_WORKSPACE": "C:/Users/dimir/projects",
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"UV_LINK_MODE": "copy"
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}
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}
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}
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}
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}
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```
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## 🛠️ Development with uvx
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### Test Changes Locally
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```cmd
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# After editing server.py or tools.py, test immediately:
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uvx --from C:/Users/dimir/proects/mcp-python mcp-python-manager --debug
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# No need to reinstall - uvx picks up local changes!
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```
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### Install for Development
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```cmd
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# Install with dev dependencies
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uv pip install -e ".[dev]" --system
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# Run tests
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uv run pytest tests/ -v
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# Run linting
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uv run ruff check .
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uv run black --check .
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```
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### Build and Publish (Optional)
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```cmd
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# Build distribution
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uv build
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# Publish to PyPI (requires token)
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uv publish --token $PYPI_TOKEN
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```
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## 🐛 Troubleshooting uvx
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### "Command not found: uvx"
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```cmd
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# Install uv
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winget install astral-sh.uv
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# or
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pip install uv
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# Ensure it's in PATH
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where uvx
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```
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### Permission errors on Windows
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```cmd
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# Use copy link mode (safer than symlinks on Windows)
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set UV_LINK_MODE=copy
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uvx --from . mcp-python-manager
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# Or run as Administrator if needed
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```
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### Cache issues
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```cmd
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# Clear uv cache
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uv cache clean
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# Disable cache for one run
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uvx --no-cache --from . mcp-python-manager
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```
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### Slow first run
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The first `uvx` run downloads dependencies. Subsequent runs are instant due to caching.
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```cmd
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# Pre-warm cache (optional)
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uvx --from . mcp-python-manager --help
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```
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### Debug uvx behavior
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```cmd
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# Enable uv debug output
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set UV_VERBOSE=1
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uvx --from . mcp-python-manager --debug
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# See what uvx is doing
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set RUST_LOG=uv=debug
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uvx --from . mcp-python-manager
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```
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## 📊 Performance Comparison
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| Method | First Run | Subsequent Runs | Setup Time |
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|--------|-----------|----------------|------------|
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| `python server.py` + venv | ~30s | ~1s | ~2 min (venv + pip) |
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| `uvx --from .` | ~15s | **~0.5s** | **0s** |
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| `pip install -e .` + run | ~45s | ~1s | ~3 min |
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## 🔄 Updating the Server
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With uvx, updates are automatic:
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```cmd
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# Just run again - uvx fetches latest code
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uvx --from C:/Users/dimir/proects/mcp-python mcp-python-manager
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# Or force refresh
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uv cache clean mcp-python-manager
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uvx --from C:/Users/dimir/proects/mcp-python mcp-python-manager
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```
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## 📁 Project Structure for uvx
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```
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mcp-python/
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├── pyproject.toml # [project.scripts] defines entry points
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├── server.py # Contains run_server() entry point
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├── .uvrc # uv-specific configuration (optional)
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└── ...
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```
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### Key pyproject.toml Settings
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```toml
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[project.scripts]
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# This creates the 'mcp-python-manager' command
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mcp-python-manager = "server:run_server"
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[tool.uv]
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# uv-specific optimizations
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dev-dependencies = ["dev"]
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```
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## 🎯 Best Practices
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1. **Use `--from .` when in project directory** - Faster than full path
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2. **Set `UV_LINK_MODE=copy` on Windows** - Avoids symlink permission issues
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3. **Keep `MCP_PYTHON_WORKSPACE` in env** - Consistent project access
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4. **Use `--debug` during development** - See detailed logs
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5. **Cache warmup** - Run `--help` once to pre-download dependencies
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## 🔄 Switching Back to Python
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If you need to use traditional Python:
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```cmd
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# Traditional setup
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python -m venv .venv
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.venv\Scripts\activate
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pip install -r requirements.txt
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python server.py
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```
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Both methods work - choose what fits your workflow!
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---
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**uv Documentation**: https://docs.astral.sh/uv/
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**MCP Specification**: https://modelcontextprotocol.io
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