Kestra Python MCP Server
Officialby kestra-io
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GOOGLE_API_KEY | No | Your Google API key for Gemini models | |
| KESTRA_BASE_URL | No | The base URL for the Kestra API | http://host.docker.internal:8080/api/v1 |
| KESTRA_PASSWORD | No | Password for basic authentication | |
| KESTRA_USERNAME | No | Username for basic authentication | |
| HELICONE_API_KEY | No | Optional Helicone API key for codegen tracing | |
| KESTRA_API_TOKEN | No | Your Kestra API token (for EE/Cloud users) | |
| KESTRA_TENANT_ID | No | The Kestra tenant ID | main |
| GOOGLE_GEMINI_MODEL_AGENT | No | Google Gemini model to use for agent functionality | gemini-2.0-flash |
| KESTRA_MCP_DISABLED_TOOLS | No | Comma-separated list of tools to disable (e.g., 'ee,codegen') | |
| GOOGLE_GEMINI_MODEL_CODEGEN | No | Google Gemini model to use for code generation | gemini-2.5-flash |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessWithin a week