### Installing outsource-mcp via uvx (Bash)

Source: https://github.com/gwbischof/outsource-mcp/blob/main/README.md

This command installs the `outsource-mcp` server using `uvx`, a recommended package installer. It's the simplest way to get the server up and running quickly.

```bash
uvx outsource-mcp
```

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

### Installing outsource-mcp from Source (Bash)

Source: https://github.com/gwbischof/outsource-mcp/blob/main/README.md

These commands clone the `outsource-mcp` repository from GitHub, navigate into the project directory, and install the project in editable mode using `uv pip`. This method is suitable for developers who want to contribute or modify the source code.

```bash
git clone https://github.com/yourusername/outsource-mcp.git
cd outsource-mcp
uv pip install -e .
```

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

### Integrating outsource-mcp with Claude Desktop (JSON)

Source: https://github.com/gwbischof/outsource-mcp/blob/main/README.md

This JSON configuration snippet integrates `outsource-mcp` into Claude Desktop, specifying `uvx` as the command to run the server. This allows Claude Desktop to use `outsource-mcp` for AI tasks, leveraging its model detection and generation capabilities.

```json
{
  "mcpServers": {
    "outsource-mcp": {
      "command": "uvx",
      "args": ["outsource-mcp"]
    }
  }
}
```

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

### Integrating outsource-mcp for Development with Claude Desktop (JSON)

Source: https://github.com/gwbischof/outsource-mcp/blob/main/README.md

This JSON configuration snippet is for integrating `outsource-mcp` into Claude Desktop during development. It specifies running the `server.py` script directly using `uv`, which is useful for testing local changes and debugging.

```json
{
  "mcpServers": {
    "outsource-mcp": {
      "command": "uv",
      "args": ["run", "server.py"]
    }
  }
}
```

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

### Running Tests for outsource-mcp (Bash)

Source: https://github.com/gwbischof/outsource-mcp/blob/main/README.md

This command executes the project's test suite using `pytest` via `uv run`. Running tests ensures the server's functionality is working as expected and helps maintain code quality and stability.

```bash
uv run pytest
```

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

### Configuring API Keys as Environment Variables (Bash)

Source: https://github.com/gwbischof/outsource-mcp/blob/main/README.md

These commands set environment variables for various AI provider API keys (OpenAI, Anthropic, Google). These keys are essential for `outsource-mcp` to authenticate with and utilize the respective AI models for text and image generation.

```bash
export OPENAI_API_KEY="your-openai-key"
export ANTHROPIC_API_KEY="your-anthropic-key"
export GOOGLE_API_KEY="your-google-key"
```

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

### Testing outsource-mcp with MCP Inspector (Bash)

Source: https://github.com/gwbischof/outsource-mcp/blob/main/README.md

This command runs the `outsource-mcp` server in development mode using `mcp dev`, allowing for testing and inspection of its functionality with the MCP Inspector tool. This is useful for debugging and verifying server behavior.

```bash
mcp dev server.py
```

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