Travel Planning FastMCP
AI-powered travel route planning server with budget estimation, packing suggestions, and food recommendations, using LangChain reactive agent with Tongyi Qwen and local deterministic fallback tools.
README
Travel Planning FastMCP
Python FastMCP server for travel route planning. It uses a LangChain reactive agent with Tongyi Qwen for AI-generated itineraries and keeps local deterministic tools for budget estimation, packing suggestions, food recommendations, and offline fallback planning.
Install
python3 -m venv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt
Configure Qwen/Tongyi Agent
plan_trip_route_tool calls Tongyi Qwen through DashScope. Put your API key in .env:
DASHSCOPE_API_KEY=your-real-dashscope-api-key
The server loads .env automatically before calling the LangChain agent.
Run
.venv/bin/python travel_planner_server.py
Tools
plan_trip_route_tool: uses a LangChain Tongyi Qwen agent to create a multi-day route with daily food recommendations, transport advice, lodging-area advice, budget reminders, and practical notes.plan_trip_route_local_tool: creates a deterministic offline route when you do not want to call Qwen-Agent.estimate_trip_budget_tool: estimates lodging, food, local transport, attractions, and contingency in CNY.suggest_packing_list_tool: recommends essentials, seasonal items, and activity-specific items.recommend_food_experiences_tool: recommends food districts, meal themes, snacks, and dietary notes.
Example MCP Client Configuration
Use the Python interpreter inside this project's virtual environment. If the MCP client uses system python3, it may fail with ModuleNotFoundError: No module named 'fastmcp'.
{
"mcpServers": {
"travel-planner": {
"command": "/Users/yantao/Desktop/ai-project/TravelPlanning/.venv/bin/python",
"args": ["/Users/yantao/Desktop/ai-project/TravelPlanning/travel_planner_server.py"]
}
}
}
Trae MCP Configuration
Use the same configuration in Trae:
{
"mcpServers": {
"travel-planner": {
"command": "/Users/yantao/Desktop/ai-project/TravelPlanning/.venv/bin/python",
"args": [
"/Users/yantao/Desktop/ai-project/TravelPlanning/travel_planner_server.py"
]
}
}
}
After changing the configuration, reload the MCP server or restart Trae.
Troubleshooting
If you see:
ModuleNotFoundError: No module named 'fastmcp'
the MCP client is using the wrong Python interpreter. Install dependencies first:
python3 -m venv .venv
.venv/bin/python -m pip install -r requirements.txt
Then make sure the MCP command points to:
/Users/yantao/Desktop/ai-project/TravelPlanning/.venv/bin/python
Development
env PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 python3 -m pytest -q
python3 -m compileall travel_planner.py qwen_travel_agent.py travel_planner_server.py
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.
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.
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.
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.