TripWeaver: MCP-Based Multi-Agent Travel Planner

TripWeaver is a multi-agent travel planning application that combines FastAPI, Gradio, LangGraph, and MCP tools to help users search hotels, flights, and plan trips.

Features

• Multi-agent travel planning workflow

• Streaming backend responses

• Gradio-based chat interface

• MCP tool endpoints for hotel and flight actions

Related MCP server: expedia-travel-recommendations-mcp

Tech Stack

• Python

• FastAPI

• Gradio

• LangGraph

• MCP

Run locally

1. Create and activate a virtual environment

   python -m venv .venv
   .venv\Scripts\activate

2. Install dependencies

   pip install -r requirements.txt

3. Start the backend

   python main.py

4. Start the MCP server

   python mcp_travel_server.py

5. Start the frontend

   python frontend.py

Project structure

• main.py: FastAPI streaming backend

• mcp_travel_server.py: MCP tool server

• frontend.py: Gradio UI

• agents/: orchestration and tool agents