ziptask
Click on "Deploy 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., "@ziptaskshow me the queue of tasks ready to claim"
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.
ziptask
MCP task tracker for AI agents — pure state layer (statuses, deps, leases, versioning) over SQLite.

Install
One-liner — installs the published binary via the deploy/ framework (see
deploy/app.env for every knob), seeds a default
settings.json and provisions the service:
# latest release
curl -fsSL https://raw.githubusercontent.com/zumik3-del/ziptask/main/deploy/install.sh | bash
# from a checkout, or pinned to a version
sudo bash deploy/install.sh --version v0.4.0Canonical layout: binary in /opt/ziptask, database and settings.json in
/var/lib/ziptask/, deploy state (helpers, hooks, app.env) in ~/.ziptask/.
Override with --dir, --port, --version and --no-service;
bash deploy/install.sh --help lists them all. updater.sh and
uninstall.sh are installed into ~/.ziptask/scripts/.
The layout, the unit policy and the per-app app.env keys are shared with
synaptomind and subagentix and documented once, in
zumik3-del/synaptomind docs/DEPLOY-LAYOUT.md.
Prebuilt release binaries target Linux x86_64 only. On other platforms (macOS, arm64 Linux) build from source with bun run build:bin.
Service mode
When systemd is detected and running, the installer renders
/etc/systemd/system/ziptask.service from the framework's unit template
(Restart=always, a bounded TimeoutStopSec, and the usual hardening) and
starts it. The unit runs as the user that invoked the installer — even under
sudo, SUDO_USER is honoured. Manage it with:
sudo systemctl start ziptask
sudo systemctl stop ziptask
sudo systemctl enable ziptask # auto-start on boot
journalctl -u ziptask -f # live logsRemove with bash ~/.ziptask/scripts/uninstall.sh. It keeps the binary, the
database and the state directory by default; add --purge to delete them.
MCP client config (stdio)
// Claude Desktop / Cursor / opencode — see your client's MCP config (key "mcpServers" in most)
{
"mcpServers": {
"ziptask": {
"command": "/opt/ziptask/ziptask",
"args": ["--stdio", "--settings", "/var/lib/ziptask/settings.json"]
}
}
}Pass --settings so the DB path and options come from settings.json regardless of the client's working directory — otherwise the DB defaults to ./data/ziptask.db under the client's cwd. Clients do not expand ~ in command/args; substitute the absolute path (the installer prints a ready-to-paste block).
MCP client config (remote HTTP)
When the service is running on the same host, point the client at the HTTP endpoint instead:
{
"mcp": {
"ziptask": { "type": "remote", "url": "http://127.0.0.1:3005/mcp" }
}
}The endpoint has no authentication, so keep it bound to 127.0.0.1 (ZIPTASK_HOST/settings.json). Use a reverse proxy with auth if it must be reachable from other hosts.
Related MCP server: tasqr-mcp
Quick start (from source)
Requires Bun ≥ 1.4.
bun install
bun run start # HTTP server on an ephemeral port (MCP endpoint + /health + experimental /api/tasks and /api/task/:id)
bun run start:stdio # run over stdioBuild a binary
bun run build:bin # produces dist/ziptask
dist/ziptask --version # prints ziptask and the package.json version
dist/ziptask --stdio # runs as stdio MCP serverArchitecture
Layered by carrier, no framework beyond the MCP SDK:
Layer | Location | Responsibility |
MCP |
| Tool schemas, registration, response shaping |
Service |
| Domain rules: transitions, leases, deps, versioning |
Storage |
| SQL (bun:sqlite, WAL) + migrations |
Entry |
| Composition root, HTTP transport |
The public task API is MCP, exposed at POST/GET/DELETE /mcp, alongside GET /health and two experimental REST-style read endpoints, GET /api/tasks and GET /api/task/:id (the latter kept as an integration endpoint for the subagentix client). No endpoint authenticates. Enumeration is scoped: the enumerating tools require a project slug, while by-id calls stay unscoped — see Projects. See HTTP endpoints.
Development
bun test # unit tests (per-test temp DBs)
bunx tsc --noEmit # type check
bun run lint # biome check src/ scripts/
bun run src/smoke.ts # MCP end-to-end over HTTP (ephemeral port + temp DB)
bun run changelog # rebuild CHANGELOG.md from git tags (maintainers; clean tree required; prints next steps to commit/push manually)The changelog script only regenerates CHANGELOG.md; it does not commit or push. After running it, commit and push manually:
git add CHANGELOG.md
git commit -m "docs: update CHANGELOG.md"
git pushDocumentation
Configuration —
settings.json, environment variables, the upgrade path, and backups.HTTP endpoints —
/mcp,/health, and the two experimental read endpointsGET /api/tasksandGET /api/task/:id.MCP tools — the 14-tool reference, projects and scope, task statuses, lease-reap semantics, and lease recovery paths.
Projects — what a project is, the slug, the fail-closed scope rule, and the four project tools.
Epic → sub-task workflow — declaring epics, attaching sub-tasks, roll-up, closure, and the cross-project constraints.
Subagent setup — install and configure the example orchestrator + subagent agents.
License
MIT
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
This server cannot be deployed
Maintenance
Related MCP Connectors
- llm-busOAuthcom.llm-bus
Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.
- DazbenchOAuthapp.dazbench
Task management your AI agents can actually run. One line becomes a context-ready task over MCP.
Local-first task manager: create, edit, and complete tasks, projects, and checklists via MCP.
Persistent memory, knowledge graph, task management and more for AI agents via MCP.
Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceProvides a self-hosted shared work queue for AI agents via MCP, using a local SQLite database for task management.-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to manage task state through MCP, including creating, updating, and tracking tasks, with support for client-side encryption and secure local credential storage.11 npmMIT
- FlicenseAqualityBmaintenanceEnables coding agents to track and coordinate project work through a shared SQLite ledger, including task plans, session ancestry, claims, work locations, blockers, and commits via MCP tools.9-
- AlicenseNot gradedqualityCmaintenanceEnables deterministic, SQLite-backed task and todo tracking across multiple project scopes via MCP tools, allowing agents to add, update, list, complete, and delete tasks without hand-editing text files.1 npmMIT