The new bottleneck isn't intelligence. It's collaborating with it.
One ranked queue your agents pull work from — and a live cockpit you watch them in. Give Claude Code, Cursor or any MCP agent a backlog; each calls get_next_task
, works the top task, and reports back — top to bottom, on autopilot. You decide what matters and see exactly what every agent is doing. You stay in control.
get_next_task
, does it, marks it done — top to bottom.TaskPrio is MCP-native (Model Context Protocol — the standard way agents connect to tools): install the server once and your agent works the queue on autopilot. No glue code, no orchestration to maintain.
curl -fsSL https://taskprio.com/install.sh | bash
get_next_task # top task + context
→ do the work
→ complete_task # logs a result
→ repeat # until the queue is empty
Setup guides: Claude Code · Claude Desktop · Cursor · Cline · Goose · Warp · Continue · Windsurf · Zed · Codex CLI · Gemini CLI · ChatGPT · or the REST API.
MIT-licensed · self-hostable · free to start — source on GitLab
TaskPrio is mission control for AI coding agents — one ranked queue your agents pull work from, and a live cockpit you watch them in. You keep one global priority order across Claude Code, Cursor, ChatGPT and every project; each agent calls get_next_task
over MCP or REST, receives the highest-ranked task with full context, works it, and reports back. It's the layer above any single tool's session: you decide what matters, your agents run it top to bottom on autopilot, and you see exactly what each one is doing.
The new bottleneck in software isn't intelligence — frontier models are already capable enough. It's collaboration: getting an agent to work on the right thing, in the right order, with the right context, then report back so you can trust it ran unattended. TaskPrio makes that concrete — one shared priority queue, above every agent and tool, where you decide what matters and your agents execute it top to bottom. As single-tool coordination becomes commoditized, the durable layer is the one that spans all your agents and keeps a human in the loop. You own priority; the agents own execution.
TaskPrio has exactly one ranked queue across every project. Notion, Linear, and Trello let you have many priorities — three P0 labels, four Today columns, two Urgent tags — which collapses into "I don't know what to do next" the moment you sit down. TaskPrio's one queue answers "what's next" unambiguously, for you and for your agent. See the full comparison for AI-agent work →
Free for humans with generous limits: 200 active tasks, 5 projects, 1 MCP session, 50 agent completions per day. Pro at $10/month unlocks unlimited everything — tasks, projects, agent completions — plus 5 concurrent MCP sessions, 4 MB attachments, team boards, and webhooks. See /pricing for the exact limits table.
Yes — anything that speaks Model Context Protocol (MCP) or REST. Claude Code and Cursor consume the bundled MCP server via a one-line installer at taskprio.com/install.sh
. ChatGPT and other LLMs hit the REST API directly using a Bearer token from your account. The full agent-discoverable manifest lives at /.well-known/agent-tasks.json. Setup guides: task manager for Claude Code, for Cursor, and how the MCP task queue works.
Cloud-mode boards live in Upstash KV (encrypted at rest, region-pinned per account). Local-mode boards stay in your browser's localStorage and never touch any server — you can use TaskPrio fully without an account. Switch between modes at any time without losing data. See /privacy.
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