moo-tasks

moo-tasks

MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.

Category
Visit Server

README

<div align="center">

<img src="./assets/moo-tasks-logo.png" alt="Moo Tasks Logo" width="110" style="border-radius: 22px; margin-bottom: 12px;" />

🐮 Moo Tasks

CI License: MIT Node: >=18.0.0 MCP Ready

Agentic Task Orchestration & Management Engine built for AI coding agents (Claude Code, Cursor, Windsurf, Antigravity, Copilot) and human-in-the-loop pair programming.

Quick Start • Agent Setup • Agent Protocol • Architecture • MCP Tools

<br/>

<img src="./assets/moo-tasks-dashboard.png" alt="Moo Tasks Dashboard Interface" width="100%" />

</div>


🌟 Why Moo Tasks?

Standard AI coding agents often suffer from:

  1. Scope Drift: Wandering away from original user intent into endless low-value refactorings.
  2. Over-Planning: Generating 40 shallow tasks without executing any of them.
  3. Looping / Thrashing: Attempting the same failed fix repeatedly without stopping.
  4. Unverifiable Work: Claiming code is complete without running tests or producing evidence.
  5. Re-Debating Decisions: Re-arguing settled architectural choices on every context reset.

Moo Tasks solves this by providing a local SQLite engine (WAL mode), a rich real-time Web UI, and a Model Context Protocol (MCP) server that enforces strict enterprise invariants at runtime.


✨ Key Capabilities & Feature Matrix

šŸŽÆ 1. Goals & Scope Control

  • Verbatim Human Prompts: Sits above tasks, preserving the exact original user request.
  • Goal Coverage & Loose Ends: Live metrics on task completion percentage and lingering open tasks.
  • Scope Drift Detection: Automatically identifies and flags orphan tasks with no linked goal.
  • Goal Open Caps: Hard cap on maximum open tasks per goal (default: 10), preventing agents from over-planning.
  • Cascade Operations: Atomically drop, kill, or reopen all tasks under a goal with mandatory reasons.

šŸ“‹ 2. Task Lifecycle & DAG Dependencies

  • Subtask Nesting Constraint: Exactly 1 level of subtasks under a parent task.
  • Finite State Machine: todo, doing, blocked-on-dependency, waiting-on-human, done, dropped.
  • DAG Dependency Graph: Automatic cycle detection and automatic unblocking of downstream tasks.
  • Parent Closure Guard: Prevents closing parent tasks while any subtask remains open.
  • Status Undo & History: Roll back accidental state transitions using full transition audit history.

šŸ›”ļø 3. Completion, Verification & Proof of Work

  • Acceptance Criteria: Mandatory criteria written in Markdown before work starts.
  • Evidence Requirement: Closing a task requires verifiable proof (commands run, stdout output, test proofs).
  • Two-Phase Verification: Distinguishes agent_completed from human verified_done.
  • Rejection with Reason: Humans or peer agents can reject completed work with feedback; the task reverts to todo and increments the reopen counter.

šŸ™‹ 4. Human Collaboration & Blocking

  • Waiting-on-Human Queue: Agents pause blockers with attached questions (clarification, approval, credential, decision).
  • Reactive Resume: Answering a question via Web UI or MCP automatically transitions the task back into the ready queue without agent restarts.
  • Dedicated Human Inbox: Real-time queue of everything needing human attention.

šŸ” 5. Discovered Work

  • Mid-Task Work Capture: Capture new work found mid-flight without relinquishing current task claim.
  • Must-Fix vs Deferred: Mark as must-fix-now (inserted as blocker) or deferred (backlog pile).

šŸ¤– 6. Ownership, Concurrency & Leases

  • Exclusive Task Claims: Leases with automatic timeout (default 5 minutes) when agents go silent.
  • Heartbeat Mechanism: Extend leases during long-running tasks.
  • Agent Concurrency Limits: Cap simultaneous tasks held per agent (default: 1).
  • File Touch Conflict Warnings: Declared files are checked for overlaps against other active claims.

šŸ”„ 7. Stall & Thrash Detection

  • Attempt Counter: Incremented on each claim/attempt.
  • Auto-Escalation: After $N$ attempts (default: 3), automatically pauses task to waiting-on-human instead of endless looping.
  • Time-in-State Tracking: Audits time spent in doing and detects repeated reopens.

šŸ›ļø 8. Settled Architectural Decisions (ADR)

  • Project-Level Record: Preserves choices and rationales that outlive tasks.
  • Pre-Planning Consultation: Agents read settled decisions before planning.
  • Supersede Support: Cleanly update and link superseded decisions with mandatory reasons.

šŸš€ Quick Start & Installation

Option A: Install Globally (Recommended for moo command)

Install moo-tasks globally to access the short moo command anywhere:

npm install -g moo-tasks
# or: pnpm add -g moo-tasks | bun add -g moo-tasks

Once installed, you can use moo directly:

moo init       # Initialize .moo workspace in current project
moo start      # Launch real-time Web UI (http://127.0.0.1:4242)
moo ws         # List registered global workspaces
moo status     # Show Where-Did-I-Leave-Off context
moo search     # Full-text SQLite search

šŸ’” Note on moo vs npx:

  • Bare moo <command> works when installed globally via npm install -g moo-tasks.
  • If running without global installation, use npx moo-tasks <command> (do not use npx moo, as moo on npm registry is an unrelated package).
  • If moo: command not found appears after global install, ensure npm's global bin directory is in your $PATH:
    export PATH="$(npm prefix -g)/bin:$PATH"
    

Option B: On-Demand via npx moo-tasks

Run directly without global installation:

1. Initialize Workspace & Agent Protocols

Run in your project root:

npx moo-tasks init

This:

  • Initializes .moo/tasks.db SQLite database with WAL mode.
  • Generates AGENTS.md, CLAUDE.md, .cursorrules, and .windsurfrules.

2. Launch Local Web UI

npx moo-tasks start

Open http://127.0.0.1:4242 in your browser.

To access the Web UI from another device or tablet on your local network (LAN):

npx moo-tasks start --lan
# Automatically logs: http://192.168.x.x:4242/

šŸ”Œ Agent & MCP Setup

One-Command Multi-Agent Installer

# Configure all detected agent IDEs at once:
npx moo-tasks install all

# Or configure specific clients:
npx moo-tasks install claude       # Updates ~/.claude.json
npx moo-tasks install cursor       # Generates .cursor/mcp.json
npx moo-tasks install windsurf     # Updates ~/.codeium/windsurf/mcp_config.json
npx moo-tasks install antigravity  # Generates .gemini/settings.json

Manual Configuration

{
  "mcpServers": {
    "moo-tasks": {
      "command": "npx",
      "args": ["moo-tasks", "mcp"]
    }
  }
}

šŸ¤– Mandatory Agent Protocol

All AI coding agents are instructed to follow this 6-step lifecycle:

1. SESSION RESUME  → Call moo_session_resume() & moo_list_decisions()
2. ANCHOR GOAL     → Call moo_create_goal(title, verbatimPrompt)
3. PLAN & CRITERIA → Call moo_create_task() with markdown criteria BEFORE code
4. EXCLUSIVE CLAIM → Call moo_claim_task(taskId, agentId, sessionId)
5. IMPLEMENTATION  → If blocked, call moo_ask_human() or link blockers
6. VERIFIED PROOF  → Call moo_complete_task() with test proof & output snippet
7. ADR RECORD      → Call moo_record_decision() for architectural choices

šŸ› ļø MCP Tool Reference

Tool Name Purpose
moo_create_goal Record human's verbatim prompt and set open task cap
moo_list_goals List project goals and statuses
moo_get_goal_status View goal coverage, open vs cap, and loose ends
moo_kill_goal Drop goal and cascade drop all child tasks with reason
moo_reopen_goal Reopen goal and its tasks
moo_create_task Create task under goal with acceptance criteria & declared files
moo_create_tasks_batch Batch create multiple tasks atomically
moo_quick_start ⚔ 1-call express vibe tool: Atomically creates and claims task with lease and declared files
moo_checkpoint ⚔ Fast progress checkpoint: Appends attempt note & extends heartbeat
moo_get_compact_context 🧠 Ultra-dense token-optimized context block (< 400 tokens) for prompt injection
moo_update_task Update title, criteria, priority, declared files, or goal
moo_link_dependencies Link prerequisite blockers with cycle validation
moo_unlink_dependencies Unlink prerequisite blocker
moo_get_next_task Auto-surface next unblocked, highest-priority task
moo_get_task Get full task details, subtasks, notes, dependencies
moo_list_tasks Filter tasks by goal, status, priority, agent, deferred
moo_claim_task Exclusively claim task (enforces lease & conflict checks)
moo_heartbeat_task Extend active lease during long-running tasks
moo_release_task Voluntarily release claim back to todo
moo_handoff_task Handoff in-flight task to another agent with notes
moo_complete_task Mark task done with mandatory commands/proof evidence
moo_verify_task Verify task done (human or verification agent)
moo_reject_task Reject completed task with mandatory reason
moo_ask_human Escalate question to human and pause task
moo_get_human_inbox List all tasks waiting on human guidance
moo_answer_human Answer question and auto-resume task
moo_capture_discovered_work Add discovered work (must-fix or deferred)
moo_add_task_note Append timestamped, attributed context/attempt note
moo_list_task_notes List context history and attempt logs
moo_drop_task Drop task with mandatory reason
moo_reopen_task Reopen task without losing audit history
moo_undo_status_change Undo last status transition
moo_bulk_drop_tasks Drop multiple tasks in single operation
moo_bulk_reopen_tasks Reopen multiple tasks in single operation
moo_record_decision Record project-level architectural decision
moo_list_decisions List settled decisions before planning
moo_supersede_decision Supersede decision with new rationale
moo_merge_tasks Merge duplicate tasks
moo_session_resume "Where did I leave off?" session summary
moo_export_project Export project to Markdown, JSON, or Plain Text
moo_archive_completed Archive done/dropped tasks out of active list

šŸ›ļø Architecture & Clean Code

src/
ā”œā”€ā”€ domain/                    # Pure Enterprise Domain Rules & Invariants
│   ā”œā”€ā”€ types.ts              # Domain interfaces & value types
│   ā”œā”€ā”€ errors.ts             # Domain-specific typed error classes
│   ā”œā”€ā”€ dependency.ts         # DAG cycle detector & unblocked evaluator
│   ā”œā”€ā”€ conflict.ts           # File touch overlap conflict detector
│   └── similarity.ts         # Duplicate task similarity detector
│
ā”œā”€ā”€ infrastructure/            # Persistence & External Integrations
│   ā”œā”€ā”€ db/database.ts        # SQLite manager (WAL mode, busy timeout)
│   ā”œā”€ā”€ db/migrations.ts      # Schema DDL and versioning
│   ā”œā”€ā”€ git/git-context.ts    # Git branch, commit, dirty status extractor
│   └── repositories/         # SQLite Repository Implementations
│
ā”œā”€ā”€ services/                  # Application Services (Use Cases)
│   ā”œā”€ā”€ goal-service.ts        # Goal lifecycle & cap enforcement
│   ā”œā”€ā”€ task-lifecycle-service.ts # State machine, ready queue, undo
│   ā”œā”€ā”€ claim-service.ts       # Exclusive claims, leases, dead-agent timeout
│   ā”œā”€ā”€ verification-service.ts# Proof of work & two-phase verification
│   ā”œā”€ā”€ human-collab-service.ts# Human Q&A queue & reactive resume
│   ā”œā”€ā”€ discovered-work-service.ts # Mid-flight discovered work
│   ā”œā”€ā”€ decision-service.ts    # ADR logs & supersede linking
│   ā”œā”€ā”€ duplicate-merge-service.ts # Idempotency & task merging
│   ā”œā”€ā”€ session-service.ts     # Where-did-I-leave-off session resume
│   ā”œā”€ā”€ housekeeping-service.ts# Archiving & multi-format export
│   └── index.ts               # Dependency Injection Container
│
ā”œā”€ā”€ mcp/                       # Model Context Protocol Stdio Server
ā”œā”€ā”€ server/                    # Fastify HTTP + Server-Sent Events (SSE) Engine
ā”œā”€ā”€ cli/                       # CLI Commands (start, init, install, mcp)
└── ui/                        # Vanilla JS + Tailwind + Lucide Icons Web UI

šŸ¤ Contributing

Contributions are welcome! Please check out CONTRIBUTING.md for development setup, testing, and PR guidelines.


šŸ“„ License

This project is licensed under the MIT License.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured