### Install uv Package

Source: https://github.com/sam-92/mcp_autogen_sse_stdio/blob/main/README.md

Installs the 'uv' package, a fast Python package installer and virtual environment manager, using pip.

```bash
pip install uv
```

--------------------------------

### Install Project Dependencies

Source: https://github.com/sam-92/mcp_autogen_sse_stdio/blob/main/README.md

Installs all project dependencies, including the MCP CLI if needed, within the activated virtual environment.

```bash
# Install project dependencies
uv pip install -e .

# Manually install MCP CLI if needed
uv add "mcp[cli]"
```

--------------------------------

### Run AutoGen MCP Demo

Source: https://github.com/sam-92/mcp_autogen_sse_stdio/blob/main/README.md

Executes the main Python script for the AutoGen MCP server examples using 'uv'. This script demonstrates both local and remote tool integrations.

```bash
# Navigate to the parent directory
cd ..

# Run the main script using uv
uv run mcp_autogen_sse_stdio/main.py
```

--------------------------------

### Create and Activate Virtual Environment

Source: https://github.com/sam-92/mcp_autogen_sse_stdio/blob/main/README.md

Creates a Python virtual environment using 'uv' and activates it for the current session. This isolates project dependencies.

```bash
# Create virtual environment using uv
uv venv --python 3.12

# Activate the virtual environment
source .venv/bin/activate  # On macOS/Linux
# OR
# .\.venv\Scripts\activate  # On Windows
```

--------------------------------

### Configure Environment Variables

Source: https://github.com/sam-92/mcp_autogen_sse_stdio/blob/main/README.md

Sets up the necessary API keys for OpenAI and Apify by creating a .env file. These keys are required for the LLM and web browsing functionalities.

```dotenv
OPENAI_API_API_KEY=your_openai_api_key_here
APIFY_API_KEY=your_apify_api_key_here
```

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