Timekit MCP for AI. Automate booking flows using natural language.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Timekit connects your AI client to a white-label booking API. It handles resource availability, time zones, and appointment workflows through natural conversation.
Your agent can check slots for specific people or rooms, create new bookings, confirm tentative meetings, or reschedule existing appointments—all without you touching a dashboard.
What your AI can do
Cancel booking
Cancels an appointment that has already been confirmed in the system.
Check availability
Queries the server to see which resources are free for a specific date and time duration.
Confirm booking
Changes a temporary, pending booking request into a finalized appointment slot.
Retrieves a full list of all managed assets, including people, rooms, and equipment.
Finds specific available time slots for one or more resources within a given date range.
Schedules and creates an entirely new appointment instance between two parties or resources.
Confirms a temporary booking request to finalize the slot, or declines it if necessary.
Changes the date and time of an already confirmed appointment without manual dashboard entry.
Retrieves full metadata for a particular booking or resource ID so you know exactly what's on the books.
Ask an AI about this
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Timekit: 11 Tools for Resource Scheduling
These tools give your agent the power to handle every part of the booking lifecycle—from listing assets to moving complex appointments.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Timekit on VinkiusCancel Booking
Cancels an appointment that has already been confirmed in the system.
Check Availability
Queries the server to see which resources are free for a specific date and time...
Confirm Booking
Changes a temporary, pending booking request into a finalized appointment slot.
Create Booking
Schedules and creates a brand new appointment record in the system.
Create Resource
Adds a new asset—like a person, room, or piece of equipment—to your managed list.
Decline Booking
Rejects a temporary booking request when the proposed slot doesn't work.
Get Booking
Pulls specific, detailed information about one individual appointment using its unique ID.
Get Resource
Retrieves all metadata for a single asset (e.g., the capacity or owner of 'Room 3').
List Bookings
Generates a complete list of every booking currently on file.
List Resources
Lists all managed resources (people, rooms, etc.) that the server tracks.
Reschedule Booking
Moves an existing confirmed appointment to a new date and time slot automatically.
Security and governance baked right in.
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Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Timekit, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 11 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Scheduling meetings shouldn't require switching between five different tabs.
Right now? You find a potential meeting time slot by opening Calendar A, checking the room status on SharePoint, cross-referencing the team lead's availability in Slack, and then finally booking it—which means copying three separate IDs into one form. It’s friction hell.
With Timekit MCP Server, you just talk to your agent. You ask: 'Can I get Alex Rivera, Conference Room B, and a presentation projector booked for 10 AM next Tuesday?' The system handles the `check_availability` calls across all three resources and confirms it instantly.
Timekit MCP Server: Get appointments and resource details in chat.
You don't have to manually check which booking ID belongs to the cancelled meeting, or if that 'tentative' slot is actually final. You can ask your agent to run `list_bookings` to see everything, then use `get_booking` on a specific ID for full details.
It’s simple: Instead of navigating complex UIs and clicking through confirmation modals, you just tell the AI client what you want done. The result is an updated schedule, period.
What your AI can actually do with this
Timekit connects your AI client straight to a white-label booking API. Your agent handles the whole scheduling mess—resource availability, time zones, appointment workflows—just by talking naturally. You don't touch a dashboard; you just chat with it.
Resource Management:
Your agent manages every asset on your books first. It can pull a complete list of all managed resources using list_resources, showing everything from people to rooms or specialized equipment. If you need to track something new, the server lets you add it via create_resource. You also have the option to run list_bookings anytime to get a full manifest of every single appointment currently scheduled.
Checking Availability & Getting Details:
Before anything else, your agent checks what’s open. It uses check_availability to find out which resources are free for specific times and time durations within a given date range. Need details on one person or room? You can run get_resource to pull all the metadata—like capacity or owner—for any single asset.
For existing appointments, if you know the unique ID, running get_booking retrieves every piece of detailed information about that specific slot.
Creating and Modifying Bookings:
When it's time to schedule something new, your agent handles the creation process. It uses create_booking to set up an entirely fresh appointment record between two or more parties. If you’re just making a rough plan, it first generates a temporary request; then, when that slot works for everyone, the server finalizes it with confirm_booking.
Conversely, if the proposed time is shot, your agent can reject the idea using decline_booking. You don't want to move an appointment? No problem. The system lets you automatically shift an already confirmed meeting to a new date and time slot via reschedule_booking.
Cleaning Up:
When plans fall through, your agent handles the cleanup too. It can cancel any appointment that's already been confirmed in the system using cancel_booking. The server manages the entire booking lifecycle—from initial check to final cancellation—all without you needing manual input into a dashboard.
019dd175-7268-7120-8b51-852b5d4002b7 Here's how it actually works
The bottom line is: Your agent handles all the complex scheduling calls to Timekit; you just tell it what you want in plain English.
Subscribe to this server and grab your Timekit API Key from the developer settings.
Input that API key into your AI client (Claude, Cursor, etc.).
Your agent can then execute booking commands—like running check_availability—using natural language prompts.
Who is this actually for?
Product teams building client-facing services. Service providers who need automated booking flows. Office managers running corporate resource schedules. This is for anyone whose job involves coordinating more than two people on a calendar.
Manages room and equipment scheduling across the whole building, checking if 'Conference Room B' is free before booking it.
Handles client consultations by running check_availability for a specific consultant and then using create_booking to book the slot instantly.
Builds internal tools that need reliable scheduling logic, automating booking graphs (confirm/decline) via the AI agent without building out a full backend service.
What Changes When You Connect
Stop juggling calendars. Running check_availability gives you real-time open slots for any number of people or rooms, eliminating guesswork before you even start a meeting.
Don't manually enter data. You can use create_booking to schedule complex appointments—like three team members and one conference room—in a single chat command.
No more forgotten follow-ups. Use get_booking or list_bookings to quickly check the status of an appointment, making sure no critical meeting slips through the cracks.
Handling changes is easy. If plans change, running reschedule_booking moves the event cleanly without requiring you to open a dashboard and click six times.
Building new capacity? Use create_resource first. This ensures that when your agent tries to book something, it knows exactly what assets are available in the system.
See it in action
The Overbooked Office Manager
An office manager needs to schedule a multi-department training session. Instead of checking three different calendars and booking room capacity manually, they ask their agent: 'Book 10 people and the main theater for next Tuesday.' The agent uses check_availability and then executes create_booking, solving the whole thing instantly.
The Late-Stage Client Change
A client needs to push their meeting back by a week. Instead of emailing an assistant, they tell their agent: 'Move my appointment with Sarah Chen next Thursday.' The agent runs reschedule_booking and updates all parties automatically.
The Internal Product Test
A product team is testing a new feature that requires booking resources. They first use list_resources to verify the IDs of all available equipment, then they run create_booking multiple times using those specific IDs to simulate usage patterns.
The Vague Request
A user asks for a meeting next week but doesn't specify time. The agent uses check_availability with broad parameters, returning three distinct 30-minute slots (e.g., 1 pm, 2:30 pm, 4 pm). This narrows the scope and gets the conversation moving.
The honest tradeoffs
Treating it like a simple calendar API
Only calling get_resource when you actually need to know if that resource is currently booked or available.
Don't just call get_resource. Always combine this with check_availability first. That tells you not just what the room is, but if it's free at a specific time.
Manual booking confirmation
The agent suggests a slot, but then the user has to manually go into the system and click 'confirm' on the pending request.
You must tell your AI client to run confirm_booking immediately after finding slots. This completes the transaction in one step.
Assuming resources are always online
Trying to create a booking for an asset that hasn't been properly added to the system yet.
Always run create_resource first. You need to formalize the person, room, or equipment in Timekit before any other tool can reference it.
When It Fits, When It Doesn't
Use this server if your core problem is coordinating multiple dynamic assets (people, rooms, gear) over time. If you need a system that handles appointment lifecycles—creating, confirming, moving, or canceling bookings—this is necessary. Think of it as the operational layer for any booking-based product.
Don't use this if your needs are simple: if you just need to read static user data (like a user profile), or interact with a single, non-time-sensitive database table, then stick to a simpler database connector. Use get_booking only when the booking ID is known; otherwise, rely on list_bookings for context. This server excels at transactions and availability logic, not simple data reads.
Questions you might have
How do I check availability with Timekit MCP Server using `check_availability`? +
You provide the tool with the resource IDs and the date range. For example: 'Check 60-minute slots for Alex Rivera between Monday and Wednesday.' The agent returns all available options.
What is the difference between `create_booking` and `confirm_booking`? +
create_booking creates a brand new slot. If you receive a pending request (a 'tentative' booking), you must use confirm_booking to finalize it.
Can I add equipment that isn't in the system? Which tool do I use? +
No, you can't. You have to run create_resource first. This adds the new piece of gear (or person) to your master list before any booking tool can reference it.
What happens if I use `reschedule_booking` for a meeting that doesn't exist? +
The server will fail and tell you the specific resource ID or booking ID is invalid. You must always verify the existing booking using get_booking before attempting to move it.
How do I use `list_bookings` to see all appointments across my system? +
list_bookings returns a comprehensive list of every booking associated with your Timekit account. This includes both confirmed and pending reservations, letting you quickly audit the full state of your schedule.
What specific details does the `get_resource` tool provide for an existing resource? +
The get_resource function retrieves detailed metadata for a single resource ID. You'll get information like its type (person, room, equipment), capacity limits, and owner, which helps contextualize scheduling decisions.
When should I use `cancel_booking` instead of `decline_booking`? +
You use cancel_booking for a confirmed appointment that must be removed immediately. Conversely, decline_booking handles tentative requests you need to reject before they are finalized.
What information do I need to set up and authenticate the Timekit MCP Server? +
You only need your unique Timekit API Key for authentication. This key is found in your developer settings, allowing your AI client to manage all scheduling actions on your behalf.
Can I check availability for multiple resources at once? +
Yes! Use the check_availability tool and provide a JSON array of Resource IDs. The agent will return time slots where all specified resources are available.
How do I confirm a tentative booking request? +
Use the confirm_booking action and provide the unique Booking ID. This will transition the request from 'tentative' to 'confirmed' in your Timekit account.
Is it possible to reschedule an existing appointment via AI? +
Absolutely. Use the reschedule_booking tool. Provide the Booking ID and the new start and end times to update the appointment instantly.
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