Chat with your Clockify data

AI to analyze Clockify data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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Clockify
You
What is the total billable value for all projects this month?
Revenue
This month, billable projects generated $24,680 based on logged hours and configured rates.
Via Kondado MCP
You
How many projects are currently flagged as billable?
Projects
You have 15 active projects marked as billable out of 22 total projects in your workspace.
Via Kondado MCP
You
Which workspace has the highest number of administrators?
Workspaces
The Operations workspace has 5 administrators managing time tracking permissions and settings.
Via Kondado MCP
You
What percentage of projects are over their time estimate?
Utilization
23% of active projects have exceeded their planned time estimates this quarter.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Clockify data with Claude and ChatGPT

Chat with Claude, ChatGPT, or any MCP client to explore your Clockify time tracking data using natural language. Ask about billable hours across different workspaces, compare project time estimates against actual hours logged, or check which administrative configurations correlate with higher team utilization. You can query attendance patterns, analyze profitability per project, or investigate resource allocation across departments without building manual spreadsheets or waiting for static reports.

Kondado replicates Clockify data through an MCP server, enabling direct AI analysis via Claude, ChatGPT, and other MCP clients. The setup exposes 2 core data pipelines, Workspaces and Projects, covering 115 fields including billable flags, hourly rates, and time estimates. The same data also powers ready dashboards in Power BI and Looker Studio for visual monitoring.

Operations managers use this capability to identify which projects are overrunning their time estimates before monthly billing cycles close. Finance teams query workspace and project hourly rates to validate invoice accuracy across multiple departments. HR analysts ask about week start configurations and admin permission distributions to ensure compliance settings remain consistent company-wide. Whether you track attendance for payroll processing or analyze productivity trends for capacity planning, the AI delivers specific Clockify metrics on demand through simple conversational questions.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your Clockify data by Kondado in minutes.

View Clockify dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your Clockify data in natural language.

View MCP setup →

The pipelines below contain every field needed to analyze time tracking operations in detail. Workspaces stores administrative settings including week start times, admin permission levels, and base hourly rates, while Projects captures billable status flags, color coding for visual organization, and project-specific time estimates. The hourly rate fields in both tables enable cross-referencing of billing configurations across different organizational units, and time estimate columns allow precise variance analysis against actual logged hours. Project identifiers and workspace memberships create clear relational pathways through your organizational structure. By joining these two pipelines, you can calculate total billable capacity per department, compare profitability across workspaces, or identify which administrative configurations correlate with on-time project delivery. Data refreshes on a configurable schedule, ensuring your chat queries always reference the latest time entries, rate adjustments, and permission changes.

How to connect Clockify to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

Clockify tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

2
Tables
115
Fields
∞
Ad-hoc questions
Workspaces
Includes fields such as id, name, and admin permissions, along with settings like week start time and hourly rate.
Projects
Contains information such as id, name, color, and whether the project is billable, along with details about time estimate and hourly rate.
Full docs on the wiki → Connect Clockify now →

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect Clockify and choose destination

Connect Clockify on Kondado at app.kondado.com.br and select a 'Via Kondado destination' so your data lands ready for AI access and for the dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

In Claude (Web or Desktop) or in ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth: same setup in both clients, no CLI or code needed.

3
Ask about Clockify or open dashboards

Ask in chat using natural language about Clockify data; for visual recurring monitoring, open a ready Power BI or Looker Studio dashboard template.

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Related on Kondado

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What specific business questions can I ask Claude or ChatGPT about my Clockify data? ▼
You can ask about billable hour totals per workspace, compare actual logged time against project estimates, identify which projects are overrunning their budgets, or analyze admin permission distributions across teams. The AI answers using live data from your Workspaces and Projects pipelines, delivering specific metrics like utilization rates and hourly rate configurations without manual spreadsheet work.
How do I configure Claude or ChatGPT to access my Clockify data through Kondado? ▼
In Claude Web or Desktop, or directly in ChatGPT, navigate to the connection settings and add the Kondado MCP server endpoint. You will authorize access once via OAuth at app.kondado.com.br, granting the AI read-only access to your replicated Clockify data. This GUI-based setup requires no command line tools or JSON configuration files.
How does the authentication process work when connecting Clockify to the AI? ▼
Authentication happens through an OAuth flow at app.kondado.com.br, where you connect your Clockify data source and authorize the MCP server access. This one-time authorization creates a persistent connection that allows Claude, ChatGPT, or other MCP clients to query your data without storing your Clockify credentials in the chat interface.
Can the AI execute actions in Clockify or write data back to the source? ▼
No, the AI connection is read-only for analytical purposes. You can ask questions, generate insights, and analyze trends in chat, but you cannot create new time entries, modify project rates, or change workspace settings through the AI interface. For data modifications, you must use the Clockify application directly.
How frequently does the Clockify data update for AI queries? ▼
Data replicates on a configurable schedule that you set in Kondado, ranging from near-real-time intervals to daily or weekly updates depending on your business needs. Once refreshed, the new data is immediately available for questioning in Claude, ChatGPT, or any other connected MCP client.
What dashboard templates are available for visualizing Clockify data? ▼
Kondado offers ready report templates in Power BI and Looker Studio that use the same replicated Clockify data as the AI chat. These templates provide visual monitoring of time tracking metrics, billable hours trends, and project utilization updated on schedule without requiring you to build charts from scratch.
What is the difference between asking the AI in chat versus opening a ready dashboard? ▼
Chat analysis with Claude or ChatGPT allows ad-hoc questioning and exploratory analysis using natural language, ideal for specific investigations or one-off calculations. Ready dashboards in Power BI or Looker Studio provide fixed visual monitoring with charts and graphs updated on schedule, better suited for recurring status checks and stakeholder presentations.

Try out all the features for free for 14 days