agent-tasks
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agent-taskscreate a task for unit testing the payment module"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
agent-tasks
Pipeline-driven task management for AI coding agents. An MCP server with stage-gated pipelines, multi-agent collaboration, and a real-time kanban dashboard. Tasks flow through configurable stages — backlog, spec, plan, implement, test, review, done — with dependency tracking, approval workflows, artifact versioning, and threaded comments.
Built for AI coding agents (Claude Code, Codex CLI, Gemini CLI, Aider) but works equally well with any MCP client, REST consumer, or WebSocket listener.
Light Theme | Dark Theme |
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Why agent-tasks?
When you run multiple AI agents on the same codebase, they need a shared task pipeline — not just a flat todo list. They need stages, dependencies, approvals, and visibility.
Related MCP server: agent-runtime-mcp
Features
Pipeline stages — configurable per project:
backlog>spec>plan>implement>test>review>doneTask dependencies — DAG with automatic cycle detection; blocks advancement until resolved
Approval workflows — stage-gated approve/reject with auto-regress on rejection
Multi-agent collaboration — roles (collaborator, reviewer, watcher), claiming, assignment
Subtask hierarchies — parent/child task trees with progress tracking
Threaded comments — async discussions between agents on any task
Artifact versioning — per-stage document attachments with automatic versioning and diff viewer
Full-text search — FTS5 search across task titles and descriptions
Real-time kanban dashboard — drag-and-drop, side panel, inline creation, dark/light theme
3 transport layers — MCP (stdio), REST API (HTTP), WebSocket (real-time events)
TodoWrite bridge — intercepts Claude Code's built-in TodoWrite and syncs to the pipeline
Stage gates — configurable per-project gates with per-stage rules: require named artifacts, minimum artifact counts, comments, or approvals before advancing
Decisions log — structured decision artifacts (chose X over Y because Z) via
task_artifact(type: "decision")Learnings propagation —
task_artifact(type: "learning")captures insights (technique, pitfall, decision, pattern); auto-propagated to parent and sibling tasks on completionAgent affinity —
task_list(next: true)prefers routing tasks to agents with related history (parent, dependency, project) as a tie-breakerHeartbeat-based cleanup — auto-fails tasks from dead agents using agent-comm heartbeat data
Task cleanup hooks — auto-fails orphaned tasks on session stop and cleans up stale tasks on session start
Agent bridge — notifies connected agents on task events (claim, advance, comment, approval)
Knowledge bridge — auto-pushes learning and decision artifacts to agent-knowledge on task completion, with embedding indexing and auto-linking
Quick Start
Install from npm
npm install -g agent-tasksOr clone from source
git clone https://github.com/keshrath/agent-tasks.git
cd agent-tasks
npm install
npm run buildOption 1: MCP server (for AI agents)
Add to your MCP client config (Claude Code, Cline, etc.):
{
"mcpServers": {
"agent-tasks": {
"command": "npx",
"args": ["agent-tasks"]
}
}
}The dashboard auto-starts at http://localhost:3422 on the first MCP connection.
Option 2: Standalone server (for REST/WebSocket clients)
node dist/server.js --port 3422Claude Code Integration
Once configured (see Quick Start above), Claude Code can use all 8 MCP tools directly — creating tasks, advancing stages, adding artifacts, commenting, and more. See the Setup Guide for detailed integration steps.
MCP Tools (8)
Category | Tools |
Task CRUD (4) |
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Metadata (1) |
|
Lifecycle (1) |
|
Artifacts (1) |
|
Config & utils (1) |
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See full API reference for detailed descriptions of every tool and endpoint.
REST API (18 endpoints)
All endpoints return JSON. CORS enabled. See full API reference for details.
GET /health Health check with version + uptime
GET /api/tasks List tasks (status, stage, project, assignee filters)
GET /api/tasks/:id Get a single task
GET /api/tasks/:id/subtasks Subtasks of a parent
GET /api/tasks/:id/artifacts Artifacts (filter by stage)
GET /api/tasks/:id/comments Comments on a task
GET /api/tasks/:id/dependencies Dependencies for a task
GET /api/dependencies All dependencies across all tasks
GET /api/pipeline Pipeline stage configuration
GET /api/overview Full state dump
GET /api/agents Online agents
GET /api/search?q= Full-text search
POST /api/tasks Create a new task
PUT /api/tasks/:id Update task fields
PUT /api/tasks/:id/stage Change stage (advance or regress)
POST /api/tasks/:id/comments Add a comment
POST /api/cleanup Trigger manual cleanupTesting
npm test # 355 tests across 13 files
npm run test:watch # Watch mode
npm run test:coverage # Coverage report
npm run check # Full CI: typecheck + lint + format + testEnvironment variables
Variable | Default | Description |
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| SQLite database file path |
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| Dashboard HTTP/WebSocket port |
| enabled | Set to |
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| Agent-comm REST URL for bridge notifications |
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| Agent-knowledge REST URL for knowledge bridge |
Dependencies
Required: Node.js >= 20.11, better-sqlite3 (bundled)
Optional (soft dependencies — fail-open, HTTP-only, no npm dep):
agent-comm — Heartbeat-based task cleanup and event notifications. agent-comm tracks heartbeats → agent-tasks checks heartbeats → auto-fails tasks from dead agents. Also sends direct messages on claim/advance and posts to channels on comments/approvals. Without agent-comm, stale agent detection and notifications are skipped gracefully.
agent-knowledge — Knowledge persistence for task learnings and decisions. On task completion, the KnowledgeBridge pushes
learninganddecisionartifacts to agent-knowledge viaPOST /api/knowledge. Entries are auto-indexed with embeddings, auto-linked to similar entries, and git-synced. Without agent-knowledge, artifacts stay in agent-tasks only.
Documentation
API Reference — all 8 MCP tools, 18 REST endpoints, WebSocket protocol
Architecture — source structure, design principles, database schema
Dashboard — kanban board features, keyboard shortcuts, screenshots
Setup Guide — installation, client setup (Claude Code, OpenCode, Cursor, Windsurf), hooks
License
MIT — see LICENSE
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Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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