### Start WavespeedMCP Server

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This command initiates the WavespeedMCP server. Replace `your_api_key_here` with your actual WaveSpeed API key to enable communication with WaveSpeed AI services.

```bash
wavespeed-mcp --api-key your_api_key_here
```

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

### Install WavespeedMCP Development Dependencies

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This command installs the project in editable mode along with its development dependencies, essential for contributing to the WavespeedMCP project.

```bash
pip install -e ".[dev]"
```

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

### Install WavespeedMCP from PyPI

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This command installs the WavespeedMCP package directly from the Python Package Index (PyPI), making the `wavespeed-mcp` command available in your environment.

```bash
pip install wavespeed-mcp
```

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

### WavespeedMCP Command-line Arguments Configuration

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This section lists the command-line arguments that can be used to configure WavespeedMCP at runtime, providing an alternative to environment variables or configuration files.

```APIDOC
--api-key: Your WaveSpeed API key
--api-host: API host URL
--config: Path to configuration file
```

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

### Configure WavespeedMCP for IDE or Application

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This JSON snippet demonstrates how to configure WavespeedMCP within an IDE or application's MCP server settings. It defines a 'Wavespeed' server entry, specifying the command to run and an environment variable for the API key.

```json
{
  "mcpServers": {
    "Wavespeed": {
      "command": "wavespeed-mcp",
      "env": {
        "WAVESPEED_API_KEY": "wavespeedkey"
      }
    }
  }
}
```

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

### Generate Claude Desktop Configuration for WavespeedMCP

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This Python command generates a `claude_desktop_config.json` file at the specified path. This file configures Claude Desktop to utilize WavespeedMCP tools, streamlining integration.

```bash
python -m wavespeed_mcp --api-key your_api_key_here --config-path /path/to/claude/config
```

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

### Run WavespeedMCP Test Suite

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This command executes the test suite for WavespeedMCP using pytest, ensuring the codebase functions as expected.

```bash
pytest
```

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

### WavespeedMCP Environment Variables Configuration

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This section details the environment variables available for configuring WavespeedMCP. These variables allow customization of API keys, host URLs, output paths, resource modes, logging levels, and specific API endpoints.

```APIDOC
WAVESPEED_API_KEY: Your WaveSpeed API key (required)
WAVESPEED_API_HOST: API host URL (default: https://api.wavespeed.ai)
WAVESPEED_MCP_BASE_PATH: Base path for output files (default: ~/Desktop)
WAVESPEED_API_RESOURCE_MODE: Resource output mode (options: url, base64, local; default: url)
WAVESPEED_LOG_LEVEL: Logging level (options: DEBUG, INFO, WARNING, ERROR; default: INFO)
WAVESPEED_API_TEXT_TO_IMAGE_ENDPOINT: Custom endpoint for text-to-image generation (default: /wavespeed-ai/flux-dev)
WAVESPEED_API_IMAGE_TO_IMAGE_ENDPOINT: Custom endpoint for image-to-image generation (default: /wavespeed-ai/flux-kontext-pro)
WAVESPEED_API_VIDEO_ENDPOINT: Custom endpoint for video generation (default: /wavespeed-ai/wan-2.1/i2v-480p-lora)
```

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

### Run WavespeedMCP Tests with Coverage Report

Source: https://github.com/wavespeedai/mcp-server/blob/main/README.md

This command runs the WavespeedMCP test suite and generates a code coverage report, indicating which parts of the code are covered by tests.

```bash
pytest --cov=wavespeed_mcp
```

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