Mcp Server Python
Python MCP Server for Kestra — you can use it as a tool in Kestra's AI Agents
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No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
Kestra AI Agents enable workflows that are no longer limited to a predefined sequence of tasks and triggers. Each AI Agent task launches an autonomous process that can think and reason using Large Language Models. Agents can use tools dynamically including web search, running Kestra tasks and executing Kestra flows.
AI Agents support a wide range of LLM providers including OpenAI, Google Gemini, Anthropic, Mistral AI, and others. AI Agents can use two memory backends: Kestra KV Store and Redis. Agents can operate independently or collaborate in multi-agent systems.
Summary drafted from the project's own website. Every sentence is backed by text on that page and was reviewed before publishing.