ActionAI MCP Python Client

ActionAI MCP HTTP client for Claude Desktop and other MCP-compatible applications.

Installation

Using uvx (Recommended)

# Test connection
uvx actionai-mcp --test

# Use with environment variables
MCP_SERVER_URL=http://localhost:8089/mcp ACTIONAI_API_KEY=client-access-key-2024 uvx actionai-mcp --test

Using pip

pip install actionai-mcp
actionai-mcp --test

Configuration

Environment Variables

• MCP_SERVER_URL: URL of the ActionAI MCP HTTP service (default: http://localhost:8089/mcp)
• MCP_TIMEOUT: Request timeout in seconds (default: 30)
• ACTIONAI_API_KEY: API key for ActionAI service authentication (default: client-access-key-2024)

Claude Desktop Configuration

Add this to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "actionai-mcp": {
      "command": "uvx",
      "args": ["actionai-mcp"],
      "env": {
        "MCP_SERVER_URL": "http://localhost:8089/mcp",
        "ACTIONAI_API_KEY": "client-access-key-2024"
      }
    }
  }
}

Augment Code Configuration

Add this to your Augment Code MCP configuration:

{
  "mcpServers": {
    "actionai-mcp": {
      "command": "uvx",
      "args": ["actionai-mcp"],
      "env": {
        "MCP_SERVER_URL": "http://localhost:8089/mcp",
        "ACTIONAI_API_KEY": "client-access-key-2024"
      }
    }
  }
}

Cursor Configuration

Add this to your Cursor MCP configuration:

{
  "mcpServers": {
    "actionai-mcp": {
      "command": "uvx",
      "args": ["actionai-mcp"],
      "env": {
        "MCP_SERVER_URL": "http://localhost:8089/mcp",
        "ACTIONAI_API_KEY": "client-access-key-2024"
      }
    }
  }
}

Usage

Test Connection

# Test with default settings
uvx actionai-mcp --test

# Test with custom URL
uvx actionai-mcp http://localhost:8089/mcp --test

# Test with environment variables
MCP_SERVER_URL=http://localhost:8089/mcp uvx actionai-mcp --test

Command Line Options

uvx actionai-mcp --help

Options:

• --test, -t: Test connection to MCP server
• --version, -v: Show version information
• --help, -h: Show help message

Development

Local Development

# Clone the repository
git clone https://github.com/your-org/actionai-mcp-client.git
cd actionai-mcp-client/mcp/python-package

# Install in development mode
pip install -e .

# Test
actionai-mcp --test

Publishing

# Build the package
python -m build

# Upload to PyPI
python -m twine upload dist/*

License

MIT License - see LICENSE file for details.