task-orchestrator-py

filhocf/task-orchestrator-py
★ 0 stars Python 🤖 AI/LLM Updated today
Python port of jpicklyk/task-orchestrator — MCP server for AI agent work management. Persistent work item graph with workflow enforcement.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "task-orchestrator-py": {
      "command": "uvx",
      "args": [
        "task-orchestrator-py"
      ]
    }
  }
}

Or install with pip: pip install task-orchestrator-py

README Excerpt

Persistent work item graph with workflow enforcement for AI agents — a Python MCP server. AI agents lose track of complex, multi-step work across sessions. They forget what was done, what's blocked, and what comes next. Prompt-based reminders don't survive context resets. File-based state has no enforcement.

Tools (19)

TASK_ORCHESTRATOR_CONFIGTASK_ORCHESTRATOR_DBadvance_itemautocomplete_treecreate_work_treeget_blocked_itemsget_contextget_next_itemget_next_statusmanage_dependenciesmanage_itemsmanage_notesmanage_schemasmanualpermanentquery_dependenciesquery_itemsquery_notes