plantrip-mcp-server
Travel planning tools from Plantrip: generate day-by-day itineraries, AI packing lists, weather insights, and trip cost estimates. Every itinerary gets a shareable page the user owns; free API key, no subscription.
README
Plantrip MCP Server
An MCP (Model Context Protocol) server that connects AI assistants like Claude to Plantrip's travel planning tools. Create itineraries, generate packing lists, get weather insights, estimate trip costs, and more.
Features
- Create Itineraries - Generate detailed day-by-day travel plans with activities, costs, and locations
- Packing Lists - AI-powered packing lists based on destination, weather, and activities
- Weather Insights - Detailed climate information and weather patterns
- Cost Estimates - Budget breakdowns for accommodations, food, transport, and activities
- Travel Expert - Ask any travel question and get expert answers
- Travel Guides - Search Plantrip's library of destination guides
- Tour Availability - Check tour dates and submit booking inquiries
Quick Start
1. Get an API Key
- Go to plantrip.io/developers
- Sign in (free — no subscription required)
- Create a new API key
2. Configure Claude Desktop
Add to your Claude Desktop config:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"plantrip": {
"command": "npx",
"args": ["-y", "plantrip-mcp-server"],
"env": {
"PLANTRIP_API_KEY": "pt_agent_your_key_here"
}
}
}
}
3. Restart Claude Desktop
Quit and reopen Claude Desktop to load the server.
Usage
Ask Claude things like:
- "Create a 5-day itinerary for Tokyo focused on food and culture"
- "What should I pack for a hiking trip to Patagonia in March?"
- "What's the weather like in Bali in August?"
- "How much would a week in Iceland cost for 2 people?"
- "What are the visa requirements for US citizens visiting Vietnam?"
Available Tools
| Tool | Description |
|---|---|
create_itinerary |
Create a new travel itinerary |
get_itinerary_status |
Poll generation status |
get_itinerary |
Retrieve complete itinerary |
modify_itinerary |
Modify with natural language |
list_user_trips |
List saved trips |
save_itinerary |
Save to user's trips |
delete_trip |
Remove from saved trips |
generate_packing_list |
AI packing list |
ask_travel_expert |
Travel Q&A |
get_weather_insights |
Weather/climate info |
estimate_trip_cost |
Budget breakdown |
search_guides |
Search travel guides |
get_tour_availability |
Check tour dates |
submit_tour_inquiry |
Tour booking inquiry |
Claude Code Setup
Add to .mcp.json in your project:
{
"mcpServers": {
"plantrip": {
"command": "npx",
"args": ["-y", "plantrip-mcp-server"],
"env": {
"PLANTRIP_API_KEY": "pt_agent_your_key_here"
}
}
}
}
Environment Variables
| Variable | Required | Description |
|---|---|---|
PLANTRIP_API_KEY |
Yes | Your API key from plantrip.io/developers |
PLANTRIP_API_URL |
No | API base URL (default: https://plantrip.io/api/agent) |
REST API
You can also use the Plantrip API directly:
curl -X POST https://plantrip.io/api/agent/execute \
-H "X-API-Key: pt_agent_your_key" \
-H "Content-Type: application/json" \
-d '{
"tool": "create_itinerary",
"arguments": {
"destination": "Tokyo, Japan",
"days": 5
}
}'
Full API docs at plantrip.io/developers.
Rate Limits
- 60 requests/minute
- 10,000 requests/day
Links
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.