Integration
Connect Cursor and TimeKeeper
When Agent Pull Request Created fires in Cursor, your agent runs Add activity in TimeKeeper, or Employee Clock In in TimeKeeper to Add Followup Instruction to Agent in Cursor. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Cursor and TimeKeeper to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Cursor and TimeKeeper can do together
From Cursor to TimeKeeper
When Agent Pull Request Created in Cursor
then Add activity in TimeKeeper
From TimeKeeper to Cursor
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Cursor and TimeKeeper
Triggers and actions 7 triggers · 24 actions
- Agent Pull Request Created
Triggers when the selected Cursor cloud agent opens a new GitHub pull request.
- Agent Status Equals
Triggers when a run on the chosen Cursor agent reaches the status you select, such as Finished or Error.
- New Agent
Triggered when a new Cursor cloud agent is created.
- Add Followup Instruction to Agent
Sends a follow-up instruction to an existing Cursor cloud agent, either starting a new run or steering the run in progress. Returns the new run or how the steer was delivered.
- Cancel run
Cancels the active run of a Cursor cloud agent. The run ends in the Cancelled state; start a new run to continue the conversation.
- Delete Agent
Permanently deletes a Cursor cloud agent. This cannot be undone. Returns the ID of the deleted agent.
- Find Agent Status
Looks up a Cursor cloud agent by its ID and returns its status, name, repositories, latest run and link.
- Get run
Returns the status, timestamps, duration, final reply and pushed branches for one run of a Cursor cloud agent.
- Launch Agent
Creates a Cursor cloud agent and immediately starts its first run on the task you describe. Returns the new agent and its run.
- List agents
Returns the Cursor cloud agents for the connected user, newest first, optionally filtered by pull request URL.
- List artifacts
Returns the files a Cursor cloud agent has produced, with each file's path, size and last modified time. Returns at most 100 artifacts.
- List models
Returns the recommended Cursor models you can choose from when creating an agent, including their names, aliases, parameters and variants.
- List repositories
Returns the GitHub repositories the connected Cursor user can access through Cursor's GitHub App installation.
- List runs
Returns the runs of a Cursor cloud agent, newest first, including each run's status, duration, and final reply.
- Employee Clock In
Triggers when an employee clocks in, returning the new time entry with its employee, job, activity and start time.
- Employee Clock Out
Triggers when an employee clocks out, delivering the completed time entry with its start and end times, duration, job and activity.
- Leave Request Approved
Triggers when a leave request is approved in TimeKeeper, for leave falling between 30 days ago and 59 days ahead.
- Who's In
Triggers when an employee appears on the Who's In list, i.e. each time someone clocks in, with their location, last job and clock-in time.
- Add activity
Creates a new activity in TimeKeeper that employees can log time against.
- Add a Job
Creates a new job in TimeKeeper with a name and optional job number and address.
- Get employee timesheet
Returns an employee's timesheet for a date range, including total regular, overtime and leave hours plus each day's time entries and leave.
- Get job breakdown report
Generates a breakdown report for one TimeKeeper job over a date range of up to 60 days.
- List activities
Returns every activity set up in your TimeKeeper account, with each activity's name and number.
- List employees
Returns the employees in your TimeKeeper account, including archived ones, with their contact details, job title, teams and working locations.
- List jobs
Returns every job in your TimeKeeper account, with each job's name, job number, completion status and id.
- List leave entries
Returns employee leave entries (annual leave and other leave types) within a date range of up to 30 days, optionally for one employee or one leave type. Public holidays are not included.
- List leave requests
Returns the leave requests in your TimeKeeper account for a date range of up to 90 days, optionally filtered by status, leave type or employee. Returns open requests unless another status is chosen.
- List shifts
Returns the draft, open and published shifts scheduled in a date range of up to 90 days, optionally for one employee. Shift times are in UTC.
- List time entries
Returns the time entries recorded in your TimeKeeper account for a date range of up to 90 days, optionally narrowed to one employee, job or activity.
- Update activity
Updates the name and activity number of an existing activity in TimeKeeper.
- Update a Job
Updates an existing job in TimeKeeper, changing its name, job number, address or address coordinates.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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Questions
Cursor and TimeKeeper, answered
What can start an automation from Cursor?
Any of Cursor's 3 triggers in the catalog, including Agent Pull Request Created, New Agent and Agent Status Equals. Describe the moment in plain language and your agent picks the right one.
What can your agent do in TimeKeeper when something happens in Cursor?
Any of TimeKeeper's 13 actions, including Update activity, Update a Job, Add activity and Add a Job. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TimeKeeper to Cursor?
Yes. When something happens in TimeKeeper, your agent can act in Cursor too. This page covers both directions: TimeKeeper's triggers and Cursor's actions are listed here as well.
Do I have to build a connector for Cursor or TimeKeeper?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Cursor and TimeKeeper without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.