clockify
 · MCP Server

Clockify 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.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 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.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II 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.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

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.

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

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
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
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.

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
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
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.
👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.

Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.

Frequently Asked 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 500+ 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.

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 500+ 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
46K+ Metrics