# ActionAI MCP Python Client
ActionAI MCP HTTP client for Claude Desktop and other MCP-compatible applications.
## Installation
### Using uvx (Recommended)
```bash
# 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
```bash
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:
```json
{
"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:
```json
{
"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:
```json
{
"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
```bash
# 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
```bash
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
```bash
# 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
```bash
# Build the package
python -m build
# Upload to PyPI
python -m twine upload dist/*
```
## License
MIT License - see LICENSE file for details.
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