Tasksync

Human-in-the-loop feedback for AI coding agents. Pause your agent mid-task, give it new directions, attach screenshots, and keep it on track — without restarting the conversation.

Reply from anywhere. Enable Remote Mode and get Telegram notifications when your agent needs input. Tap a quick-reply button or type a response from your phone — the agent picks up instantly.

Quick Start

npx tasksync-mcp-http

Server starts on port 3011 (MCP) and 3456 (web UI). Open http://localhost:3456 to see the feedback dashboard.

OpenCode Plugin (Recommended)

The opencode-tasksync plugin is the best way to use TaskSync. Add one line to your OpenCode config:

{
  "plugin": ["opencode-tasksync"]
}

What the plugin gives you that raw MCP can't:

• Zero-config agent behavior — A daemon agent is injected automatically with the complete feedback loop protocol. No prompt pasting, no manual setup.
• Augment any agent — Add feedback loops to your existing coder, ask, build agents with one config line. They start calling get_feedback between tasks.
• Unbreakable connections — SSE transport with 30s keepalives and automatic reconnection (exponential backoff up to 15s). Server restarts, network blips — the agent never notices.
• Native image support — Attached images appear directly in the LLM conversation via OpenCode's tool.execute.after hook. No temp files, no workarounds.
• Remote Mode (OpenCode exclusive) — The plugin captures the agent's latest response and forwards it to Telegram. You see what the agent is asking and can reply without touching your laptop.
• FYI status updates — When the agent works for 30+ seconds without asking for feedback, you get a status update on Telegram so you know it's still making progress.

How the plugin makes this possible: It hooks into OpenCode's event system — experimental.text.complete for capturing agent context, tool.execute.after for native image injection, and the config hook for automatic agent/prompt injection. The SSE connection lives inside the tool's execute() function, which is a regular async function that can do anything before returning a string. All of this happens transparently — agents just call get_feedback and get back your response.

See the OpenCode Plugin Guide for configuration, agent augmentation, and remote mode setup.

MCP Server (Universal)

For VS Code Copilot, Claude Desktop, or any MCP-compatible client — connect directly to the MCP endpoint.

Add to .vscode/mcp.json:

{
  "servers": {
    "tasksync": {
      "url": "http://localhost:3011/mcp"
    }
  }
}

Or for OpenCode in MCP mode (opencode.json):

{
  "mcp": {
    "tasksync": {
      "type": "remote",
      "url": "http://localhost:3011/mcp"
    }
  }
}

MCP gives you the tasksync_get_feedback tool with full image support (ImageContent blocks). You'll need to provide the daemon agent prompt manually — see prompts/ for ready-to-use templates.

How It Works

1. Agent calls get_feedback and blocks
2. You see the waiting session in the web UI at http://localhost:3456
3. Type your feedback, attach images if needed, and submit
4. Agent receives your response and continues working
5. Repeat — the agent stays in a feedback loop until you tell it to stop

Feedback UI

The web dashboard at http://localhost:3456 provides:

• Multi-session support — Route feedback to different agent sessions
• Image attachments — Paste, drag-drop, or file-pick images
• Markdown toolbar — Bold, italic, code, lists, headings with keyboard shortcuts
• Live status — See which sessions are waiting, idle, or have queued feedback
• Desktop notifications — Get alerted when an agent is waiting
• Remote mode toggle — Enable/disable Telegram notifications per session
• Session management — Rename, prune stale, delete sessions

See Feedback UI Guide for details.

Remote Mode (Telegram)

Get notified on Telegram when agents are waiting for feedback, and reply directly from your phone.

Setup

1. Create a Telegram bot via @BotFather and copy the token
2. Set the token:

   # .env file (recommended)
   TASKSYNC_TELEGRAM_BOT_TOKEN=your-bot-token-here
   
   # or CLI flag
   npx tasksync-mcp-http --telegram-token=your-bot-token-here
   

3. Start the server, then send /start to your bot in Telegram
4. Enable remote mode per session via the web UI toggle

When an agent calls get_feedback, you'll receive a Telegram message with the agent's question and quick-reply buttons (Approve / Reject / Continue / Stop / Pause). Reply with text or tap a button — the feedback goes straight to the agent.

One bot per server. Telegram only allows one process to poll for updates per bot token. If you run multiple TaskSync servers, create a separate bot for each via @BotFather.

CLI Options

Option	Default	Description
--port=<n>	3011	MCP Streamable HTTP port
--ui-port=<n>	3456	Feedback UI port
--telegram-token=<tok>	—	Telegram bot token for remote notifications
--heartbeat	off	Enable legacy [WAITING] timeout mode
--timeout=<ms>	3600000	Wait timeout (only with --heartbeat)
--no-ui	off	Disable embedded feedback UI

Environment Variables

Variable	Description
TASKSYNC_TELEGRAM_BOT_TOKEN	Telegram bot token (alternative to CLI flag)
TASKSYNC_TELEGRAM_CHAT_IDS	Pre-authorized Telegram chat IDs (comma-separated)
TASKSYNC_LOG_LEVEL	debug, info, warn, error (default: info)
TASKSYNC_LOG_FILE	Path to log file (default: stderr)

A .env file in the project root is loaded automatically. See .env.example for all options.

Updating

Server

npm install -g tasksync-mcp-http@latest

If you run via npx, just restart — npx fetches the latest version automatically.

OpenCode Plugin

OpenCode caches npm plugins locally in ~/.cache/opencode/. Restarting OpenCode does not fetch the latest version — it reuses the cache. To update:

rm -rf ~/.cache/opencode/packages/opencode-tasksync@latest

Then restart OpenCode. It will re-install the latest version on startup.

Building from Source

git clone https://github.com/vikrant82/tasksync-mcp.git
cd tasksync-mcp
npm install && npm run build
node dist/index.js

Documentation

• Architecture — Current module map and Excalidraw architecture diagram
• OpenCode Plugin Guide — Plugin setup, configuration, agent augmentation, remote mode
• API Specification — MCP tools, HTTP endpoints, REST API
• Session Workflow — Session lifecycle and routing
• Feedback UI Guide — Web UI features and controls
• Examples — Curl commands, client configs, multi-session flows

License

MIT