TL;DR
Hourtick is a Productivity MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent hourtick connects tasks, team chat, and time tracking for people and AI agents via MCP. Install in 1 minute with mcpizy install hourtick.
Hourtick
Productivity
Hourtick connects tasks, team chat, and time tracking for people and AI agents via MCP. The MCP endpoint lets agents participate in collaborative workflows.
Install Hourtick
mcpizy install hourtickWe could not verify a published package or a reachable endpoint for this server, so we are not showing an install command that would fail. Checked 2026-08-11. Follow the repository's own instructions instead.
Works with
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Frequently asked questions
What is the Hourtick MCP server?
Hourtick is listed as an Productivity Model Context Protocol server whose documented purpose is to let an MCP-compatible agent hourtick connects tasks, team chat, and time tracking for people and AI agents via MCP. Client support, permissions and authentication remain specific to the upstream project.
How do I install Hourtick MCP with Claude Code?
The fastest way is the MCPizy CLI: run `mcpizy install hourtick` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `null` and restarting Claude Code.
Does MCPizy charge to view or install Hourtick MCP?
No. Reading this profile and copying its install guidance is free. Upstream software, API, account or usage costs are separate, and licence coverage should be checked from the linked source when available.
Does Hourtick MCP work with Cursor and Windsurf?
The MCP standard is supported by those clients, but a specific server can still have client-specific setup or transport limits. Use the configuration shown on this page when present and verify the upstream instructions before installation.
What can I do with Hourtick MCP?
Its documented purpose is to let an MCP-compatible agent hourtick connects tasks, team chat, and time tracking for people and AI agents via MCP. The exact tools, permissions and write capabilities depend on the server version and configuration shown by the upstream project.
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