OmniTask Agent

Example Use Cases

• 1

  Create, list, update, and delete tasks across multiple external task management systems through a unified MCP interface.

• 2

  Decompose complex tasks into subtasks and perform automatic complexity assessment and PRD parsing to drive planning workflows.

• 3

  Editor integration and interactive development support (MCP stdio server) to enable in-editor task management and debugging with LangGraph.

Description

OmniTask Agent is a multi-model, Python-native task management MCP server that connects to various professional task systems, supports task creation/listing/updating/deletion, status and dependency tracking, and automatic task decomposition and complexity analysis. It integrates with LangGraph for intelligent workflows and supports editor integration via the MCP protocol (e.g., Cursor). The project is intended for developers building agent-driven task workflows and can be configured to use different LLM providers like OpenAI or Anthropic via API keys.