Kestra Python Server
Enables AI IDEs and chat interfaces to interact with Kestra through a Python-based server and various Kestra-specific tools.
About
The Kestra Python Server acts as a bridge, allowing modern AI IDEs and chat interfaces like Cursor, VS Code, and Claude Desktop to interact directly with Kestra functionalities. It provides a suite of tools to manage Kestra flows, executions, files, namespaces, and more, empowering users to automate workflow orchestration and interact with Kestra resources using natural language prompts. The server can be easily deployed via Docker or run locally for development, and integrates with AI agent SDKs for enhanced automation capabilities.
Key Features
- 1 GitHub stars
- Supports Kestra flow and execution management through AI commands
- Offers AI-powered code generation (codegen) with Google Gemini integration
- Deployable via Docker container for simplified setup
- Integrates with AI IDEs (Cursor, VS Code, Claude Desktop)
- Provides tools for managing Kestra files, namespaces, and key-value pairs
Use Cases
- Automating Kestra workflow operations using natural language prompts in AI-powered IDEs
- Managing Kestra resources (flows, executions, files) directly from a chat interface
- Developing and extending Kestra tools locally for custom functionalities