Chat with your Toggl data

AI to analyze Toggl data with Claude and ChatGPT

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

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Toggl
You
Which client generated the most billable hours this month?
Client Billing
Client "Acme Corp" leads with 847 billable hours totaling $42,350 in revenue this month.
Via Kondado MCP
You
Compare last week's tracked time to the week before
Time Trends
Team productivity increased by +18% week-over-week, adding 34 additional billable hours to projects.
Via Kondado MCP
You
What are the top 3 projects by labor cost this quarter?
Project Costs
The "Website Redesign" project tops the list at $12,450 in labor costs, followed by Mobile App and Marketing Campaign.
Via Kondado MCP
You
How many hours did the Design team log yesterday?
Team Hours
The Design workspace recorded 127.5 hours yesterday, with 94% marked as billable client work.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to Analyze Toggl Data with Claude and ChatGPT

Ask Claude, ChatGPT, or any MCP client about your Toggl time tracking data using natural language chat. Query specific metrics like total billable hours per client this month, compare actual project durations against initial estimates, or identify which team members have the highest utilization rates across different workspaces. The AI reads directly from your replicated Toggl pipelines to answer these questions instantly, eliminating the need for manual spreadsheet exports or complex formulas.

Kondado replicates Toggl data into a structured format accessible via MCP, enabling Claude, ChatGPT, and any MCP-compatible client to query 10 data pipelines including Time Entries, Projects, and Workspaces. The same data also powers ready dashboards in Power BI and Looker Studio.

Project managers track productivity trends by asking which tasks consumed the most hours last quarter, while finance analysts review profitability margins by querying labor costs against hourly billing rates for each project. Operations leads optimize capacity planning by examining workspace user assignments and time entry patterns across groups. Simply type your business question in chat to receive calculated insights about your team’s time tracking performance and resource allocation.

I prefer ready dashboards

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

View Toggl dashboards →

I want to ask the AI

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

View MCP setup →

The Toggl data source exposes ten distinct pipelines that Claude and ChatGPT can query directly in natural language chat. Time Entries reveals exact durations in seconds and detailed descriptions for every tracked minute, while Projects shows actual hours accumulated and billing rates per activity. Clients organizes customer information for accurate revenue attribution, Workspaces: Users links team members to their respective workspaces for capacity planning, and Tasks provides status tracking for individual assignments. Cross-referencing Projects with Projects: Users uncovers labor cost efficiency per team member, while joining Time Entries with Tags identifies which task categories consume the most resources across your organization. Automated updates on a configurable schedule ensure your AI conversations always reference the freshest time tracking data for accurate decision making.

How to connect Toggl 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

Toggl 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.

10
Tables
141
Fields
∞
Ad-hoc questions
Clients
Includes fields such as client ID, name, and workspace ID, enabling efficient client management.
Groups
Contains information about group ID, name, and list of workspaces, facilitating project organization.
Projects
Presents data such as project ID, actual hours, status, and hourly rate, essential for tracking activities.
Projects: Groups
Includes unique identifiers for projects and groups, facilitating the association between them.
Projects: Users
Provides data such as user ID, labour cost, and hourly rate, allowing analysis of user performance in projects.
Tags
Contains information about tag ID, name, and workspace ID, facilitating the categorization of entries.
Tasks
Includes data such as task ID, status, and update timestamp, aiding in activity management.
Time Entries
Presents information such as entry ID, description, and duration in seconds, essential for time tracking.
Workspaces
Contains data about workspace ID and name, allowing for the organization of projects and teams.
Workspaces: Users
Includes information such as user ID, name, and workspace ID, facilitating user management across different workspaces.
Full docs on the wiki → Connect Toggl now →

How to connect and use AI with your data

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

1
Connect Toggl and choose Via Kondado destination

Connect your Toggl account on app.kondado.com.br and select the Via Kondado destination. Your time tracking data lands ready for immediate AI access and for the Power BI and Looker Studio dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT settings

In Claude (Web or Desktop) or ChatGPT, navigate to the connection settings and add the Kondado MCP server. Authorize once via OAuth at app.kondado.com.br, the same simple setup works in both clients with no CLI commands needed.

3
Chat about Toggl or open ready dashboards

Ask questions in natural language about your Toggl data directly in the chat interface. For ongoing visual monitoring of project hours and billing metrics, open one of the ready Power BI or Looker Studio dashboard templates.

Other connectors with AI via MCP

Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

CRM and Sales

ActiveCampaign ActiveCampaign
Bitrix24 CRM Bitrix24 CRM
Exact Sales Exact Sales
Hubspot Hubspot
Infusionsoft (Keap) Infusionsoft (Keap)
Meetime Meetime
NectarCRM NectarCRM
Pipedrive Pipedrive
PipeRun PipeRun
Ploomes Ploomes
RDStation CRM RDStation CRM
Salesforce Salesforce

Marketing and Automation

Google Ads Google Ads
E-goi E-goi
Google Search Console Google Search Console
Hi Platform Hi Platform
Huggy Huggy
Linkedin Linkedin
MailChimp MailChimp
Mandrill Mandrill
Mautic Mautic
Pushwoosh Pushwoosh
RDStation RDStation
Salesforce Marketing Cloud (Exact Target) Salesforce Marketing Cloud (Exact Target)
SenseData SenseData
Taboola Taboola
Twilio Twilio
WordPress WordPress

Advertising and Media

Apple App Store Apple App Store
Bing Bing
Criteo Criteo
Facebook Facebook
Facebook Ads Facebook Ads
Google Play Store Google Play Store
Instagram Ads Instagram Ads
Meta Ads Meta Ads
Microsoft Ads Microsoft Ads
Microsoft Advertising Microsoft Advertising
Pinterest Ads Pinterest Ads
TikTok Ads TikTok Ads
X Ads X Ads
YouTube YouTube

E-commerce and Marketplaces

Bling! Bling!
Hotmart Hotmart
Loja Integrada Loja Integrada
Mercado Libre Mercado Libre
Nuvemshop (Tiendanube) Nuvemshop (Tiendanube)
Olist Tiny Olist Tiny
Omie Omie
Pagar.me Pagar.me
Shopify Shopify
Tiny ERP Tiny ERP
Tray Tray
VNDA VNDA
VTEX VTEX
Wake Commerce Wake Commerce

Financial and Payments

ASAAS ASAAS
ContaAzul ContaAzul
Fatura Simples Fatura Simples
Granatum Granatum
Superlogica Superlogica
Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
Blip (take) Blip (take)
Clockify Clockify
EADBOX EADBOX
Freshdesk Freshdesk
Movidesk Movidesk
Recruiterbox Recruiterbox
Stilingue Stilingue
Wootric Wootric
Zendesk Zendesk
Zendesk Chat (Zopim) Zendesk Chat (Zopim)

Databases

AWS CloudWatch Metrics AWS CloudWatch Metrics
Azure Table Storage Azure Table Storage
BigQuery BigQuery
InfluxDB v1 InfluxDB v1
MongoDB MongoDB
MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer
Webhook Webhook

Productivity and Collaboration

ClickUp ClickUp
Google Sheets Google Sheets
Jira Jira
monday.com monday.com
Notion Notion
Pipefy Pipefy
Tangerino Tangerino
Trello Trello

Social Media

Instagram Instagram
TikTok Organic TikTok Organic

User Analytics

Google Analytics GA4 Google Analytics GA4
Mixpanel Mixpanel
Zeeng Zeeng

Storage and Transfer

Amazon S3 Amazon S3
FTP FTP
Google Cloud Storage Google Cloud Storage
See all AI connectors →

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 Toggl metrics can I ask Claude or ChatGPT about in natural language? ▼
You can query billable hours per client, project profitability based on actual hours versus rates, team utilization across workspaces, and task duration trends. The AI reads from Time Entries, Projects, and Workspaces pipelines to calculate these metrics on demand.
How do I configure Claude Web or Desktop to access my Toggl data through Kondado? ▼
Open your Claude settings, add the Kondado MCP server URL, and complete the OAuth authorization at app.kondado.com.br. This same GUI-based process works for ChatGPT. No command line tools or code snippets are required.
Can ChatGPT or Claude modify my Toggl timers or create new time entries? ▼
No, the MCP connection provides read-only analytical access. The AI can analyze historical time tracking data and answer questions about productivity patterns, but it cannot start timers, edit entries, or write data back to Toggl.
How does authentication work when connecting Toggl to Claude or ChatGPT via Kondado? ▼
You authorize the connection once through OAuth at app.kondado.com.br. This secure token allows both Claude and ChatGPT to query your replicated Toggl data without storing your credentials directly in the AI clients.
How frequently does the Toggl data update in the AI chat? ▼
Data replicates on a configurable schedule, typically ranging from hourly to daily depending on your plan. This ensures near-real-time answers when you ask about yesterday's billable hours or current project status.
What is the difference between asking the AI about Toggl data and using the ready dashboards? ▼
The AI chat provides ad-hoc analysis and answers specific questions in conversational format, while Power BI and Looker Studio templates offer visual recurring monitoring with pre-built charts. Both use the same replicated data from your Toggl pipelines.
Can I use other MCP clients besides Claude and ChatGPT to analyze Toggl data? ▼
Yes, any MCP-compatible client can connect to Kondado's server. While we showcase Claude and ChatGPT as the most popular options, other MCP clients also work for querying your time tracking analytics.
Which dashboard templates are available for Toggl data besides the AI chat? ▼
Kondado provides ready report templates in Power BI and Looker Studio that visualize project profitability, team utilization, and client billing trends. These complement the conversational analysis available through Claude and ChatGPT.

Try out all the features for free for 14 days