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Glama

Kestra Python MCP Server

by kestra-io
Apache 2.0
1
  • Apple
  • Linux

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GOOGLE_API_KEYNoYour Google API key for Gemini models
KESTRA_BASE_URLNoThe base URL for the Kestra APIhttp://host.docker.internal:8080/api/v1
KESTRA_PASSWORDNoPassword for basic authentication
KESTRA_USERNAMENoUsername for basic authentication
HELICONE_API_KEYNoOptional Helicone API key for codegen tracing
KESTRA_API_TOKENNoYour Kestra API token (for EE/Cloud users)
KESTRA_TENANT_IDNoThe Kestra tenant IDmain
GOOGLE_GEMINI_MODEL_AGENTNoGoogle Gemini model to use for agent functionalitygemini-2.0-flash
KESTRA_MCP_DISABLED_TOOLSNoComma-separated list of tools to disable (e.g., 'ee,codegen')
GOOGLE_GEMINI_MODEL_CODEGENNoGoogle Gemini model to use for code generationgemini-2.5-flash

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kestra-io/mcp-server-python'

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