Review Your Entries
Ask What Is Already Logged
What have I logged this week?
Tolmete Connectors · MCP
Log Time From The AI Agent You Already Work With
Connect Tolmete to Claude Desktop, Cursor, Codex, or any MCP-compatible client. Tell your agent what you worked on, and it can create, review, and correct your Tolmete time entries — without opening another timesheet.
Works With
Any MCP-Compatible Client
The Problem
Time Tracking Shouldn't Pull You Out of Your Work
Tolmete makes project management through chat feel natural for contributors and managers. You describe what you did or what you need; the AI workflow assistant for teams handles the structure, fields, and formatting in the background.
Developers and designers already spend their day inside editors, terminals, and AI agents. But logging time usually means leaving that environment, opening another tool, finding the right project, remembering what happened earlier, and filling in a form.
Context Switching Loses Detail
A debugging session with a specific cause, investigation, and outcome can become nothing more than “bug fixing” by the time the timesheet gets filled in.
Timesheets Get Reconstructed Later
Logging Monday's work on Friday means relying on memory. The result may look reasonable, but the detail behind the work is already gone.
Your AI Workflow and Your Time Tracker are Disconnected
The AI agent is already part of the contributor's working environment. Traditional time tracking still lives somewhere else.
Tolmete Connectors close that gap.
Product Demo
From One Sentence
To Real Tolmete Time Entries
If you're looking for "a better timesheet," Tolmete is probably not what you actually need. Time trackers focus on control. Tolmete focuses on understanding.
Correct an Entry
Change it in the same conversation
Make the checkout refactor 4 hours instead of 5.
Log Multiple Activities
One message, several entries
Log yesterday: 4h on the API integration and 2h on design review.
Manage an Absence
Days off go through the same flow
Log Friday as a day off.
You keep talking to the AI agent already on your screen. Tolmete receives the data through the same projects and permissions used by your Tolmete account.
How It Works
Connect Your AI Agent to Tolmete
In Four Steps
The connector gives your AI agent a defined set of Tolmete actions while keeping those actions within your existing permissions.
01.
Generate Your Personal Token
Give the connection a label and choose its expiration period. The token secret is shown when it is generated.
Profile Settings → Connectors → Generate Token
02.
Add the MCP configuration
Tolmete gives you the configuration snippet needed by your AI client. Copy it into Claude Desktop, Cursor, Codex, or another MCP-compatible client.
Step-by-step integration guides are available for supported clients.
03.
Tell Your Agent What to Log
No separate timesheet form is required during the interaction.
Example: Log 3 hours on the payments refactor and 1 hour on code review today.
04.
See the Entries in Tolmete
The resulting entries appear as normal Tolmete time logs associated with your projects. They remain available in the Tolmete interface, reports, and connected workflows.
Connect Tolmete via MCP
{
"mcpServers": {
"tolmete": {
"url": "https://…/api/mcp",
"headers": {
"Authorization": "Bearer tlm_mcp_…"
}
}
}
}Capabilities
What Can You Do With Tolmete Connectors?
The connector gives your AI agent a defined set of Tolmete actions while keeping those actions within your existing permissions.
Find Your Projects
Your agent can look up projects available to you so entries can be assigned to the appropriate Tolmete project without manually copying project IDs.
Log Several Entries at Once
A single message can contain multiple activities.
Log yesterday: 4h on the API and 2h on design review.
Review What You Already Logged
Ask what has already been recorded before adding new entries.
What did I log yesterday?
Correct Existing Entries
Change the duration, project, or description conversationally.
Change the API entry from 4 hours to 3.5.
Remove an Incorrect Entry
Your agent can remove your own entries when necessary.
Destructive actions are marked accordingly so compatible AI clients can treat them as destructive operations.
Manage Absences
Days off and absences can go through the same connector and into Tolmete's existing absence flow.
Bring Time Tracking Into Your AI Workflow
See how Tolmete Connectors let your team log, review, and correct time directly from the AI agents they already use — while keeping everything inside the same Tolmete projects, permissions, and reporting workflows.
Works With
Any MCP-Compatible Client
Core Value
Better Time Data Starts With Easier
Time Logging
When logging time takes one short interaction in a tool that is already open, contributors have fewer reasons to postpone it. That improves the quality of the data that reaches the rest of the business.
Same-Day Time Entries
Log work while the details are still fresh instead of reconstructing the week from memory.
More Useful Descriptions
Entries can retain meaningful information about what actually happened instead of collapsing into generic categories.
No Separate Logging Workflow
Developers and designers continue working in the AI tools they already use. Time logging becomes another action inside that workflow.
How Intelligent Risk Alerting Works
Built for the People Who Log Time
— and the People Who Depend on It
A scope change on a time-and-materials project is routine. The same change on a fixed-price project near a deadline is a crisis. This is where AI project risk detection becomes useful: Tolmete evaluates sprint timing, billing models, and team capacity so managers only see alerts that actually require attention.
Developers & Designers
Log Your Day Without Leaving Your AI Agent
Time tracking should not be the administrative task that pulls you away from your editor or AI workflow.
Tell the agent already on your screen what should be logged, and the resulting entries appear in Tolmete.
Log yesterday: 4h on the API and 2h on design review.
- No separate timesheet form during the interaction
- Less context switching
- Same-day logging while details are still fresh
- Conversational corrections
- Multiple activities in one request
Project Managers
Spend Less Time Chasing Timesheets
When contributors can log work with less friction, project data can arrive sooner and with more useful descriptions.
That gives PMs a more current view of project activity without relying entirely on end-of-week reminders.
- Fewer missing time entries
- More detailed descriptions for review
- More current project data
- Less manual follow-up with contributors
Agency Leaders
Improve the Inputs Behind Reporting and Billing
Utilisation, project profitability, reporting, and invoicing all depend on the quality of the underlying time data.
Making time logging easier for contributors improves the inputs those downstream processes depend on.
- Fewer gaps between worked and logged hours
- More current data for reporting
- Better inputs for profitability analysis
- Timelier information for billing workflows
Product ecosystem
Where Connectors Fit
in Tolmete
Tolmete Connectors are not a separate time tracking system.
They provide another way to create and manage data inside Tolmete's existing workflows.
- Try the ROI Calculator
Time Tracking
Entries created through an AI agent are ordinary Tolmete time logs. They use the same projects and appear alongside entries created through the Tolmete interface.
- Explore Invoicing Integrations
Invoicing Integrations
Time logged through an AI agent can continue through the same invoicing workflows as other Tolmete time entries.
- Explore Absence Management
Absence Management
Absences created through the connector enter Tolmete's existing absence management workflow.
Comparison
Manual Time Tracking vs. Logging Through Your AI Agent
Traditional client reporting depends on someone finding the time to build it. Tolmete replaces that cycle with a client reporting system that uses delivery evidence and automatically keeps clients informed.
Without Tolmete
Manual Time Tracking
- Leave the environment where the work happened
- Open a separate time tracking interface
- Reconstruct work from memory
- Find the correct entry again when something needs changing
- Add another administrative step to the working day
- Frequently complete entries later instead of while the context is fresh
With Tolmete
Tolmete Connectors
- Log time from the AI agent already in your workflow
- Create several entries from one message
- Review existing entries conversationally
- Correct an entry with another sentence
- Keep using the same Tolmete projects and reports
- Reduce the friction between finishing work and recording it
Traditional time tracking asks contributors to go to the tracker. Tolmete brings time logging into the AI workflow where work is already happening.
Security & Permissions
Your Agent Gets Your Tolmete Access
— Nothing More
Connecting an AI client does not create a separate permission model inside Tolmete. Actions performed through the connector run with the permissions of the person who created the token.
Personal Connections
Each connector token belongs to the individual Tolmete account that created it.
Token Expiration
Choose an expiration period when creating your connection.
Existing Permissions Apply
What you cannot access in Tolmete, your agent cannot access through the connector either.
Revoke Access
A connector token can be revoked from Tolmete when the connection is no longer needed.
Connection Visibility
Tolmete provides information about connector usage so users can review their connections.
Stop Leaving Your Workflow
Just to Fill in a Timesheet
Connect Tolmete to the AI agent you already work with and turn time logging into a conversation instead of another administrative task.
Works With
Any MCP-Compatible Client
FAQ
Frequently Asked Questions
Everything you need to know about Tolmete.
Tolmete Connectors allow MCP-compatible AI clients to interact with your Tolmete account, so you can create, review, update, and remove time entries through an AI agent.
Model Context Protocol (MCP) is an open protocol that allows AI applications to connect to external tools and data sources.
Tolmete provides integration guidance for Claude Desktop, Cursor, and Codex. Other MCP-compatible clients can use this connection method where supported.
Yes. A single request can create multiple time entries, allowing you to record several activities in one conversation.
No. Tolmete Connectors do not monitor your activity, read your repository, or generate timesheets from commits or code. You tell your AI agent what should be recorded.
Only if your Tolmete account has permission to access them. The connector does not add permissions to your account.
Ask the agent to correct or remove the entry. The connector supports both actions for entries your account is allowed to manage.
No. Connectors provide another way to create and manage Tolmete data. Entries created through an AI agent still appear in the web app and remain available for reporting and billing.
No. Connections are personal, so contributors can adopt them individually without changing how the rest of the team records time.