Clockify

@Clockify show me all active time entries for our team this week, grouped by project

Based on the workspace data, here's an illustrative summary: 15 active time entries across 4 projects this week. 'Website Redesign' has 6 entries totaling 18.5 hours (3 team members). 'API Integration' shows 5 entries at 12 hours (2 members). 'Client Onboarding' has 3 entries at 7.5 hours, and 'Internal Tools' has 1 entry at 3 hours. The longest single session was 4.5 hours on the redesign project. This reflects typical workspace activity patterns when querying time-tracking data.

This example demonstrates Clockify's core read capability: aggregating time-entry data across users and projects. Requires workspace-level API access. The actual response structure depends on your workspace's project taxonomy and active timers. Rate limits apply to bulk queries spanning many users.

@Clockify create a new client called 'Acme Industries' in our main workspace and set their hourly rate to $150

Client 'Acme Industries' created successfully in workspace 'Main Operations' (ID: 64a687e29ae1f428e7ebe303). Hourly rate set to $150.00 USD. The client is now available for project assignment and time-entry tagging. You can associate existing projects with this client or create new ones under their account. Note that rate changes won't retroactively affect already-logged time entries.

This showcases Clockify's client-management action. Requires workspace admin permissions via API key. Side-effect: immediately visible to all workspace members in client dropdowns. If you later delete this client, you must first archive it and confirm no active projects or time entries reference it.

@Clockify analyze our team's time allocation last month and identify which projects are over budget based on estimated hours

Illustrative analysis of March time data: 'Website Redesign' logged 142 hours against a 120-hour estimate (18% over). 'API Integration' used 87 of 100 hours (13% under). 'Client Onboarding' hit 95 hours vs. 80 estimated (19% over). Two team members consistently exceed estimates on design tasks, suggesting scope creep or underestimation. The AI synthesized this by cross-referencing time entries with project budgets and user assignments.

This example pairs Clockify's data retrieval with AI reasoning to surface budget trends. The MCP provides raw time/project data; the AI performs the over-budget calculation and pattern recognition. Accuracy depends on whether your workspace consistently sets project estimates and tags entries correctly.

When Clockify MCP wins for monthly client invoicing

A 6-person creative agency bills 12 clients monthly and needs to pull time entries, match them to project codes, and generate invoices. The Clockify MCP is the right call here because it exposes client creation, user filtering, and webhook setup in one integration—your AI can create new clients when contracts start, query who logged hours to which project, and subscribe to time-entry events so billing alerts fire automatically. The auth is straightforward API key, so onboarding a bookkeeper takes five minutes. The threshold: if you're reconciling across multiple time-tracking tools or need sub-hour granularity that Clockify doesn't track, you'll hit limits. For single-tool agencies under 20 clients, this MCP turns a two-day billing close into a same-day run.

Using Clockify MCP to surface who's overloaded before standup

A 10-person engineering team runs daily standups and the PM wants a pre-meeting snapshot of who logged over 9 hours yesterday or has zero entries this week. The Clockify MCP handles this cleanly: the AI calls Find All Users On Workspace, filters by recent activity, and flags outliers in Slack 15 minutes before standup starts. The webhook tool means you can also subscribe to real-time entry events, so the system learns patterns without manual queries. The catch: Clockify's user-filtering tool is paginated and sortable, but if your workspace has 100+ users and you're querying every morning, response times creep up. For teams under 30, this is a one-prompt setup that turns time data into a standup talking point instead of a post-mortem surprise.

When Clockify MCP streamlines new-hire manager lookup

An HR coordinator at a 40-person startup onboards 3-5 people a month and needs to assign each new hire to their manager in Clockify, then notify the manager via email. The Find User's Team Managers tool makes this a single AI call: pass the new hire's user ID, get back the manager list, trigger the email. The Create Client tool also helps if each new hire maps to a billable project or department code. The limitation: if your org structure lives in BambooHR or Workday and Clockify is just the time tracker, you're duplicating manager data across systems—this MCP doesn't sync org charts. For startups where Clockify is the source of truth for team structure, this cuts onboarding admin from 20 minutes per hire to under two.