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vamsi-1234

Office Booking MCP

by vamsi-1234
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CAB_AUTH_TOKENYesAuthorization token for the cab booking API.
CAB_API_BASE_URLYesBase URL for the cab booking API, captured from your company's app.
LUNCH_AUTH_TOKENYesAuthorization token for the lunch booking API.
OFFICE_MCP_DEBUGNoSet to 'true' to enable debug logging (optional).
LUNCH_API_BASE_URLYesBase URL for the lunch booking API.

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_cab_bookingsA

List your current and upcoming office cab bookings.

book_cabA

Book an office cab.

Args: pickup: Pickup location (address or saved place name). drop: Drop-off location. when: When the cab is needed, ISO 8601 e.g. "2026-06-18T09:30:00". notes: Optional note for the driver/admin.

cancel_cabA

Cancel an office cab booking.

Args: booking_id: The id of the trip to cancel (from list_cab_bookings). reason: Optional cancellation reason.

list_lunch_bookingsA

List your current and upcoming office lunch bookings.

book_lunchB

Book office lunch for a date.

Args: date: Slot date as DD-MM-YYYY, e.g. "23-06-2026". time: Slot time as HH:MM (defaults to the captured slot time). food_id: Optional item id to order; if empty, books the template's item. food_name: Optional human-readable name for that item. price: Optional unit price for that item (0 = keep template price). veg: Whether the item is vegetarian. quantity: Number of units (default 1).

cancel_lunchA

Cancel an office lunch booking.

Args: booking_id: The id of the lunch order to cancel (from list_lunch_bookings). reason: Optional cancellation reason.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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