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by kestra-io • Workflow & Task Management
A Python-based MCP (Model-Client-Plugin) server that exposes Kestra workflow management tools to AI agents and IDEs via a Docker or local Python runtime.
List, inspect, and manage Kestra flows and namespaces programmatically from within IDEs or chat-based agents.
Start, monitor, replay, backfill, or restart Kestra executions and retrieve execution outputs.
Interact with Kestra file/kv storage and configuration (including enabling or disabling EE-only tool groups depending on deployment).
This repository provides a lightweight MCP server for interacting with Kestra (workflows, executions, namespaces, files, backfills, etc.) from AI agents and modern IDEs. It can run in Docker for quick setup or locally for development, supports both OSS (username/password) and EE/Cloud (API token) deployments, and lets you enable/disable enterprise-only tools. The server communicates with agents over stdio using JSON-RPC and includes simple logging configuration and environment-driven setup.
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