MCP-native · early access
The token-friendly issue tracker
for AI agents
Track issues with your AI agent, not against it. A minimal MCP-native tracker where humans and agents share the same issues and statuses — token-friendly by design.
Issue trackers weren't built for agents
Token burn
Heavy tools push huge contexts and bloated APIs into every agent call. The cost adds up fast.
UI-first, agent-last
Surfaces designed for clicks make agents fight the tool instead of tracking work.
Sane defaults
Other tools either skip guardrails or build them around clicks. We use strict status transitions and validation — rules that fit agents and humans alike.
How it works
-
1
Sign up for early access
Join the waitlist below — we'll invite you when the hosted tracker opens.
-
2
Connect your agent via MCP
Point any MCP client at your tracker. One small tool surface means minimal tokens per call.
-
3
Humans + agents, same issues
Track, triage, and close issues together. Same statuses, same history — no drift.
Everything an agent needs. Nothing it doesn't.
Strict status transitions
open → to_review → done → closed. Invalid jumps are rejected — for humans and agents alike.
Assignees
Assign issues to teammates or agents. Changes stay in sync.
Comments
Lightweight context on any issue. The whole thread stays in one place.
Priority & severity
Built-in levels let humans and agents rank issues without inventing tags.
MCP-native
Agents talk to the tracker over the Model Context Protocol — no scraping, no fragile UIs.
Token-friendly
Minimal tool surface and small responses — every agent call counts.
Get early access
We're soft-launching with a focused, token-friendly issue tracker. Join the list to get an invite when it opens.