toggl · MCP Server

Toggl + Improvado MCP — Time Tracking Data, Answers in Seconds

Improvado gives your AI agent direct access to Toggl data through an MCP server. Query time entries, project budgets, team productivity, and billing data — 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 Toggl Metric Instantly

Skip the Toggl Reports dashboard. Ask your AI agent for hours by project, billable rates, team productivity trends, or client profitability — across any workspace, period, or team member. The MCP server handles Toggl API calls.

Example prompts

"What are the total billable hours by client for this month? Rank by revenue potential."

30 min → 20 sec

"Show me which projects are over their estimated hour budgets this quarter."

20 min → 20 sec

"Compare average daily hours tracked per team member across Q1 and Q2."

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Manage Projects and Entries Without Leaving the Chat

Your AI agent doesn't just read Toggl — it acts on it. Create projects, set hourly rates, update client records, and manage time entry tags through natural language commands.

Example prompts

"Create a new project for the website redesign with a 150-hour budget and $150/hr billing rate."

15 min → 2 min

"Update the billing rate for all time entries tagged 'senior consultant' from last month."

45 min → 2 min

"Archive all completed projects that haven't had time logged in 60 days."

30 min → 1 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Productivity and Budget Alerts Automatically

Set up watches on billable hours, project budgets, and team activity. Your AI agent monitors Toggl continuously and flags productivity gaps or budget risks.

Example prompts

"Alert me if any project reaches 75% of its hour estimate mid-project."

Manual → auto

"Every Monday: send a summary of hours logged, billable ratio, and top clients by time this week."

1 hr → auto

"Flag any team member who hasn't logged time in more than 2 business days."

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 Profitability Is Calculated in Spreadsheets

The problem

Agencies using Toggl Track export hours to spreadsheets to calculate project margins — matching logged hours to billing rates and comparing against fixed-fee project budgets. The process is weekly, manual, and always slightly out of date.

How MCP solves it

Improvado extracts Toggl hours with billing rates and project budgets into a unified profitability model. The MCP server delivers real-time project margin analysis without exporting a single file.

Try asking

Which projects are below 20% profit margin based on hours logged and billing rates?

Answer in seconds

All data sources, one query

Challenge 2

No Visibility Into How Time Is Actually Spent

The problem

Team leads want to know what percentage of time goes to billable vs. admin vs. overhead — but Toggl's summary reports don't break this down automatically. Every analysis requires custom tag filtering and manual aggregation.

How MCP solves it

Improvado normalizes Toggl tag hierarchies and entry types into a structured model. The MCP server makes time allocation analysis by category, tag, project type, or client available as instant queries.

Try asking

Break down how the design team splits their time: client work, internal projects, and admin — last month.

Full detail preserved

No data loss on export

Challenge 3

Freelancer and Contractor Data Sits in Separate Workspaces

The problem

Organizations using Toggl across multiple workspaces — one per client engagement or one per team — can't compare utilization or profitability across workspaces without manual data consolidation.

How MCP solves it

Improvado consolidates multiple Toggl workspaces into a single data model. The MCP server lets AI agents query across all workspaces, compare teams, and roll up hours at the organization level.

Try asking

Compare total hours logged and billable ratio across all 4 workspaces this quarter.

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 Toggl have an MCP server?

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

What Toggl data can I query through the MCP server?

You can query time entries, projects, clients, tasks, tags, team members, hourly rates, and project budgets. Improvado maps all Toggl Track data including custom tags and multi-workspace structures.

Does this support Toggl Plan as well as Toggl Track?

The primary integration is with Toggl Track (time tracking data). Toggl Plan project management data can be connected depending on your Improvado configuration. Contact Improvado to confirm current coverage.

How does Improvado connect to Toggl?

Improvado connects via Toggl Track's REST API using API token authentication. Setup takes under 10 minutes — no local installation, no developer required.

Can I calculate project profitability with Toggl data?

Yes. Improvado combines Toggl hours with billing rates and project budgets to calculate profit margins. You can query profitability by project, client, or team through the MCP server in plain language.

Can I combine Toggl data with invoicing or project tools?

Yes. Improvado's MCP server covers 1,000+ platforms. You can correlate Toggl hours with invoices in Xero, compare estimated vs. actual across Asana projects, or analyze client profitability end-to-end 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