clockify · MCP Server

Clockify + Improvado MCP — Time Tracking Data, Queryable Instantly

Improvado gives your AI agent direct access to Clockify data through an MCP server. Query logged hours, project utilization, team productivity, and billing — all in natural language. Works with Claude, ChatGPT, Cursor, Gemini, and any MCP-compatible tool.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Pull Any Time Tracking Metric Instantly

Skip the Clockify reports dashboard. Ask your AI agent for utilization by team, hours by client, billable vs. non-billable ratios, or project overruns — across any period, project, or employee. The MCP server handles Clockify API calls.

Example prompts

"What is our billable utilization rate by team for this month? Break it down by department."

30 min → 20 sec

"Which projects are over budget on hours this quarter? Show budgeted vs. actual hours."

20 min → 20 sec

"Compare billable hours by client for the last 6 months. Flag any declining trends."

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Update Projects and Time Entries Without Leaving the Chat

Your AI agent doesn't just read Clockify — it acts on it. Create projects, assign tasks, update time entries, and manage billing statuses through natural language commands.

Example prompts

"Create a new project for the Q2 content campaign with a 200-hour budget. Assign to the marketing team."

20 min → 2 min

"Mark all approved time entries from last week as billed for client accounts."

30 min → 1 min

"Archive all projects with zero activity in the last 90 days."

40 min → 2 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Utilization and Budget Alerts Before Overruns

Set up watches on project budgets, team utilization, and billable ratios. Your AI agent monitors Clockify continuously and flags issues before they affect profitability.

Example prompts

"Alert me if any project reaches 80% of its hour budget before the deadline."

Manual → auto

"Every Friday: send a summary of billable hours, utilization rate, and top projects by logged time."

1 hr → auto

"Flag any team member with less than 60% billable utilization two weeks in a row."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Project Budget Overruns Aren't Caught Early Enough

The problem

Project managers running multiple client projects in Clockify only see budget burn when they manually check each project. By the time hours are 90% consumed, it's too late to renegotiate scope or adjust resourcing.

How MCP solves it

Improvado aggregates Clockify project and time entry data with budget thresholds. The MCP server lets AI agents monitor burn rates across all projects and flag overrun risk in real time.

Try asking

Which active projects are on track to exceed their hour budget by end of month?

Answer in seconds

All data sources, one query

Challenge 2

Billable vs. Non-Billable Breakdown Requires Manual Export

The problem

Finance teams need billable ratios by employee, team, and client to calculate revenue per head and profitability. Clockify's native reports require manual filtering and export for every combination — a monthly ritual that takes hours.

How MCP solves it

Improvado normalizes Clockify time entry data with billable flags, client tags, and project metadata. The MCP server delivers billable ratio analysis by any dimension as a plain-language query.

Try asking

Show me billable vs. non-billable ratio by team for Q1. Which team had the highest utilization?

Full detail preserved

No data loss on export

Challenge 3

Cross-Tool Time Tracking Creates Data Gaps

The problem

Teams using Clockify alongside project management tools (Jira, Asana, Linear) often have time tracked in multiple places. Reconciling hours against tickets or tasks requires manual joins nobody maintains consistently.

How MCP solves it

Improvado connects Clockify alongside project management platforms in a unified model. The MCP server lets you query time tracked against tasks across tools in a single question.

Try asking

How many hours were logged against Jira tickets in the Engineering team last sprint?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

Does Clockify have an MCP server?

Clockify does not publish an official MCP server. Improvado provides a hosted MCP server that connects to Clockify via its REST API, making time entries, projects, teams, and billing data queryable in natural language.

What Clockify data can I query through the MCP server?

You can query time entries, projects, tasks, clients, team members, tags, billable status, and project budgets. Improvado maps the full Clockify data model including workspace-level and organization-level data.

Can I get utilization and billability metrics automatically?

Yes. Improvado pre-calculates utilization rates and billable/non-billable ratios from Clockify time entry data. You can query these by employee, team, client, or project without building custom reports.

How does Improvado connect to Clockify?

Improvado connects via Clockify's REST API using API key authentication. Setup takes under 10 minutes — no local installation or developer required.

Does this work for agencies managing multiple client workspaces?

Yes. Improvado supports multiple Clockify workspaces in a single connection. You can query across all client projects and teams from one MCP server without switching contexts.

Can I combine Clockify data with invoicing or project management tools?

Yes. Improvado's MCP server covers 1,000+ platforms. You can correlate Clockify hours with Jira tickets, compare billed hours with invoiced amounts in QuickBooks, or analyze project profitability across tools in one query.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms