toggl
 · MCP Server

Toggl 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.

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: 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.

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

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 Toggl — it acts on it. Create projects, set hourly rates, update client records, and manage time entry tags 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 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
"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

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.

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
"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 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 500+ 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.

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 500+ 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
46K+ Metrics