Kestra
Integrates with Kestra workflow orchestration platform to enable natural language control of data pipelines, execution management,
This Kestra MCP server by kestra-io provides AI assistants with comprehensive workflow orchestration capabilities through the Kestra platform, enabling natural language interaction with data pipelines, microservices, and automation workflows. The implementation exposes extensive functionality including flow creation and management, execution control (start, pause, resume, restart, replay), namespace and file operations, KV store management, backfill operations, and enterprise features like user management and worker groups. Built with Python using FastMCP and httpx, it includes both Google ADK and OpenAI agent integrations, AI-powered code generation using Gemini models, and Docker containerization, making it valuable for data engineers and DevOps teams who need to manage complex orchestration workflows through conversational interfaces without directly accessing the Kestra UI.
Source
Repository: https://github.com/kestra-io/mcp-server-python
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