Travel Planner MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_itineraryC | Creates a personalized travel itinerary based on user preferences |
| optimize_itineraryC | Optimizes an existing itinerary based on specified criteria |
| search_attractionsC | Searches for attractions and points of interest in a specified location |
| get_transport_optionsB | Retrieves available transportation options between two points |
| get_accommodationsC | Searches for accommodation options in a specified location |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: itinerary creation, accommodation search, transport options retrieval, itinerary optimization, and attraction search. There is no overlap in functionality, making it easy for an agent to select the right tool.
All tool names follow a consistent verb_noun pattern (e.g., create_itinerary, get_accommodations, optimize_itinerary). This uniformity enhances readability and predictability for agents.
With 5 tools, the server is well-scoped for travel planning, covering key aspects like itinerary management, accommodations, transport, and attractions. Each tool serves a distinct and necessary function.
The toolset covers core travel planning operations, but minor gaps exist, such as updating or deleting itineraries and booking accommodations or transport. However, agents can likely work around these with the provided tools.