curl -LsSf https://astral.sh/uv/install.sh | sh

deactivate
rm -rf .venv

uv venv
source .venv/bin/activate

uv add "mcp[cli]" pydantic python-dotenv "daytona-sdk>=0.10.5"

uv run src/daytona_mcp_interpreter/server.py

/Users/USER/.local/bin/uv run ~LOCATION/daytona-mcp-interpreter/src/daytona_mcp_interpreter/server.py

npx @modelcontextprotocol/inspector \
  uv \
  --directory . \
  run \
  src/daytona_mcp_interpreter/server.py

tail -f /tmp/daytona-interpreter.log

{
    "mcpServers": {
        "daytona-interpreter": {
            "command": "/Users/USER/.local/bin/uv",
            "args": [
                "--directory",
                "/Users/USER/dev/daytona-mcp-interpreter",
                "run",
                "src/daytona_mcp_interpreter/server.py"
            ],
            "env": {
                "PYTHONUNBUFFERED": "1",
                "MCP_DAYTONA_API_KEY": "api_key",
                "MCP_DAYTONA_SERVER_URL": "api_server_url",
                "MCP_DAYTONA_TIMEOUT": "30.0",
                "MCP_VERIFY_SSL": "false",
                "PATH": "/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin"
            }
        }
    }
}

# Example: List files
ls -la

# Example: Install a package
pip install pandas

file_download(file_path="/path/to/file.txt")

# Set custom file size limit
file_download(file_path="/path/to/large_file.csv", max_size_mb=10.0)

# Download partial content for large files
file_download(file_path="/path/to/large_file.csv", download_option="download_partial", chunk_size_kb=200)

# Convert large file to text
file_download(file_path="/path/to/large_file.pdf", download_option="convert_to_text")

# Compress file before downloading
file_download(file_path="/path/to/large_file.bin", download_option="compress_file")

# Force download despite size
file_download(file_path="/path/to/large_file.zip", download_option="force_download")

# Upload a text file
file_upload(file_path="/workspace/example.txt", content="Hello, World!")

# Upload a text file with specific path
file_upload(
    file_path="/workspace/data/config.json",
    content='{"setting": "value", "enabled": true}'
)

# Upload a binary file using base64 encoding
import base64
with open("local_image.png", "rb") as f:
    base64_content = base64.b64encode(f.read()).decode('utf-8')

file_upload(
    file_path="/workspace/images/uploaded.png",
    content=base64_content,
    encoding="base64"
)

# Upload without overwriting existing files
file_upload(
    file_path="/workspace/important.txt",
    content="New content",
    overwrite=False
)

git_clone(repo_url="https://github.com/username/repository.git")

# Clone a specific branch
git_clone(
    repo_url="https://github.com/username/repository.git",
    branch="develop"
)

# Clone to a specific directory with full history
git_clone(
    repo_url="https://github.com/username/repository.git",
    target_path="my_project",
    depth=0  # 0 means full history
)

# Clone with Git LFS support for repositories with large files
git_clone(
    repo_url="https://github.com/username/large-files-repo.git",
    lfs=True
)

# Generate a preview link for a web server running on port 3000
web_preview(port=3000)

# Generate a preview link with a descriptive name
web_preview(
    port=8080,
    description="React Development Server"
)

# Generate a link without checking if server is running
web_preview(
    port=5000,
    check_server=False
)

# First run a simple web server using Python via the shell
shell_exec(command="python -m http.server 8000 &")

# Then generate a preview link for the server
web_preview(port=8000, description="Python HTTP Server")