📡 MCP Radar

Parv17k/tasktracker

The local-first task board for you and your AI agents. Claude & Cursor work on it over MCP, the built-in assistant asks before changing anything, and it all stays on your machine.

⭐ 4 stars
⑂ 0 forks
JavaScript
momentum ▲ 8.0
created 2026-10-03
on radar since 2026-10-07
star trend 3 → 4 since 2026-10-07
ai-agentsclaudeganttkanbanlocal-firstmcpmodel-context-protocolnodejsollamaproductivitypwareactself-hostedsqlitetask-manager
View on GitHub ↗

About tasktracker

The local-first task board for you and your AI agents.

Claude and Cursor plan and update tasks over MCP. Agents propose, you approve: every change waits for one tap. Working with agents stays low-effort: one calm board, changes in plain words, nothing leaving your machine.

A real MCP connection (a scripted demo agent) asking for three changes. Nothing moves until they're approved.

🤖 Agents work on your board Claude Code, Cursor and any MCP client get 19 tools to plan work, break it into subtasks, log progress and finish tasks, through the same rules you use.

✅ You stay in charge Agents propose, you approve. Changes from agents and from the built-in assistant wait on an approval card, in plain words, until you tap Apply. Trust an agent? Let it apply right away.

🏠 It stays on your machine One SQLite file. No account, no cloud, no telemetry. Pair it with Ollama or LM Studio and even the AI runs locally.

In the agentic AI era, the hard part isn't getting AI to do work. It's keeping up with it. Every new agent is one more thing to watch, one more place where work happens, one more stream of updates to read.

I wanted the opposite: a task board that gets calmer as AI gets more capable. One place where my agents and I share the same list, where I can see what happened at a glance, where nothing changes behind my back, and where the screen stays quiet enough to think. Task Tracker is that board.

From the project README.

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