Toggl · MCP Server · Model Context Protocol
Toggl MCP Server Integration for AI Agents
Connect Toggl to Claude, ChatGPT, and Cursor through the Model Context Protocol. Let an AI agent start and stop timers, log time entries, and categorize them by project or client — with no code and no API wrangling.
Start with a ready-made prompt
Click one and it fills the box above. Edit it, then build.
Teams run Toggl agents for
What is the Toggl MCP Server?
The Toggl MCP Server is a Model Context Protocol connector that exposes your Toggl time entries, projects, clients, and reports to AI agents — so a model like Claude or ChatGPT can read and act on them safely, instead of you copying data across by hand.
Toggl does its job well — but everything around it is still manual: starting timers, tagging entries by project, chasing untracked hours, building reports. The Model Context Protocol (MCP) is an open standard that lets an AI agent call an app's actions directly. Flozic's Toggl MCP Server wires those time-tracking actions into any MCP-compatible agent.
On Flozic, the Toggl MCP Server gives you:
- Toggl over OAuth — read and write time entries, projects, clients, and tags through approved endpoints, no raw keys to manage
- MCP tools for any agent — Claude, ChatGPT, and Cursor call the same Toggl tools to start timers, log entries, categorize, and report
- AI reasoning inside the flow — the agent decides which Toggl action to take, then chains it across 1,000+ other apps, no code
Connect Toggl to your AI agent in 3 steps
No custom API code, no developer. Authorize Toggl, enable the MCP server, and point your agent at Flozic — live in under 15 minutes.
Connect Toggl
Authorize your Toggl account over OAuth in one click. No raw API keys to copy, no backend to host.
Enable the MCP server
Turn on the Toggl MCP Server in Flozic. It exposes time entries, projects, clients, and reports over the Model Context Protocol, ready for any agent.
Point your agent & run
Connect Claude, ChatGPT, or Cursor to the Flozic MCP endpoint. Your agent can now act in Toggl in real time, with every action logged and replayable.
What AI agents can do with Toggl via MCP
The Toggl MCP Server exposes time entries, projects, clients, and reports as tools. An agent reads context, reasons, and acts — covering timers, tagging, reporting, and alerting end to end.
Start, stop & log time
Ask the agent to start a timer, log a missed entry, or stop tracking in Toggl — it acts directly through the MCP tools.
agent: start timer for task
→ log entry in toggl
→ tag project + client
Categorize & organize
The agent can assign entries to the right project and client and turn a calendar event into a tracked time entry — with the correct tags.
agent: read calendar event
→ create toggl entry
→ assign project + client
Summarize & alert
The agent pulls a time report, flags untracked hours, then routes the result across 1,000+ apps — email a summary, post to Slack, or update a sheet.
agent: pull weekly report
→ flag untracked gaps
→ email or alert Slack
Toggl MCP Server vs a Zapier/API integration
The common ways to connect Toggl, compared on AI agents, price, and reach across your other tools.
| Capability | Flozic MCP | Zapier | Make | n8n | Raw API |
|---|---|---|---|---|---|
| Live tools for an AI agent | Yes (MCP) | No | No | Via code | DIY |
| AI reasoning decides the action | Built-in | Add-on | Add-on | Via code | No |
| Toggl time entries, projects & reports | All | Most | Most | DIY | Manual |
| No-code setup | Yes | Yes | Yes | Code-first | No |
| Works with Claude / ChatGPT / Cursor | Any MCP client | No | No | DIY | DIY |
| Free to start | 7-day free trial | 100 tasks/mo | 1,000 ops/mo | Self-hosted | Free |
| Starting price (platform) | $19/mo flat | $19.99/mo | $9/mo | Free self-host | Free |
| Reaches 1,000+ other apps | Yes | Yes | Yes | DIY | No |
Design Toggl agent flows on a visual canvas
Put a Toggl trigger on the left, an AI agent step in the middle, and your destination apps on the right. Watch real-time test runs show exactly what the agent did.
A canvas built for agents, not just rows
An MCP-driven workflow is more than "copy a record." Flozic treats the time entry or calendar event as the trigger: Toggl fires it, an AI agent reasons over it, and the right apps act — with logic branches on any field.
- Toggl time entry, project, and report tools over MCP
- AI agent reads context and decides the action (Claude, ChatGPT, Gemini)
- Map any Toggl field into the workflow and any result back
- Branch on any field, value, or status
- Real-time test runs with per-step latency
Popular Toggl & MCP integrations
Explore more MCP servers and ways to put Toggl to work with your AI agents and workflows.
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QuickBooks MCP Server
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GitLab MCP Server
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Office 365 MCP Server
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IntegrationsToggl integrations
Browse every no-code Toggl integration and pre-built connector on Flozic.
DirectoryAll MCP servers
See the full directory of Flozic MCP servers you can connect to Claude, ChatGPT, and Cursor.
AI AgentsFlozic AI Agents
Build and deploy AI agents that use Toggl and your other MCP tools.
BuilderAI Workflow Builder
Chain Toggl actions with AI steps and 1,000+ apps on a visual canvas.
Search 1,000+ apps to connect to Toggl
Type any app you want to use alongside Toggl in your agent workflows — anything in our 1,000+ connector catalog.
Press Enter or just start typing — results update as you type
One Toggl account, every team puts its agent to work differently
Pick your team's Toggl use case — every agent flow is pre-mapped and live in minutes.
Operations
- Log time → CRM
- Categorize by project
- Alert on untracked hours
- Sync to Sheets
Marketing
- New entry → campaign tag
- Tag by project
- Sync to Sheets
- Report weekly
Sales / RevOps
- New entry → Slack alert
- Flag over-budget hours
- Log billable time to CRM
- Invoice-ready summary
AI teams
- Entry → AI summary
- Classify by project
- Flag anomalies
- Route by result
Connect Toggl to every tool your team already uses
Extend your Toggl agent across your stack. Each tile opens a real integration hub with triggers, actions, and ready-to-deploy templates.
Slack
Gmail
Google Calendar
Microsoft Teams
Salesforce
HubSpot
Notion
Google Drive
OneDrive
GitHub
Zoom
Todoist
AI reasoning built into every Toggl flow
Claude, GPT, Gemini — the agent reads Toggl context, decides the action, and drafts, classifies, or routes. AI is a built-in node on every plan.
AI on every email & event
Use Claude to draft, GPT to classify, or Gemini for cheap triage — then act on the clean result. Switch models in 1 click.
Toggl tools over MCP
Time entry, project, client, and report tools with full field access — the Toggl toolkit exposed as first-class Model Context Protocol tools for any agent.
Connect your whole stack
Chain Toggl actions out to CRM, chat, and sheets, and pull data back into Toggl — 1,000+ apps, no glue code.
A team gave their AI agent Toggl and stopped losing billable hours
How a team automated Toggl end to end
Every time entry used to be logged by hand — starting timers, tagging the right project and client, chasing untracked hours before invoicing. They connected the Toggl MCP Server: an AI agent now logs entries from calendar events, categorizes them by project and client, flags anything untracked, and posts a weekly report to Slack. The manual work is gone and the team stopped losing billable hours.
Enterprise-grade security by default
Scoped OAuth, SOC 2 Type II audited, GDPR + CCPA compliant, ISO 27001 aligned. Toggl connects over scoped access, your data is never used to train any LLM, and every agent action is logged.
What teams say after connecting Toggl to their AI agent
Verified operations, marketing, and sales leads reviewing Flozic on G2 — 4.7★ across 1,388 reviews. No incentives, no edits.
"Our agent logs time entries, tags them by project, and flags anything we forgot to track. We deleted a whole manual step."
"Pointing Claude at the Toggl MCP server took an afternoon, and it's run for months without us touching it."
"Honest note: setting the agent's permissions took a little thought. After that, the Toggl flow has been completely hands-off."
Common questions about the Toggl MCP Server
Answers to the most-searched Toggl MCP Server questions — what MCP is, connecting Claude and ChatGPT, no-code setup, what an agent can do, pricing, and security.
What is the Toggl MCP Server?+
What is an MCP server?+
How do I connect Toggl to Claude or ChatGPT?+
Is the Toggl MCP Server free?+
What can an AI agent do with Toggl?+
Do I need to write code to use it?+
Is the Toggl MCP Server secure?+
Which AI agents work with the Toggl MCP Server?+
How is the MCP server different from a Zapier or API integration?+
Written by founders who ship AI agents & MCP integrations in production
"An app like Toggl is only as good as what your AI agent can do with it. We built the Flozic MCP servers so a team can hand Claude or ChatGPT the tools to log time and run reports — safely, and in an afternoon instead of a quarter."
Abhinav founded Appy Pie LLP in 2016 after a Computer Science degree from the University of Westminster. Over the last decade his teams have shipped no-code platforms used by 10M+ users — and today lead Flozic's AI workflow platform. He has worked with operations, marketing, and sales teams to ship Toggl MCP integrations across the stack.
Connect Toggl to your AI agent in the next 5 minutes
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