What runtime or dependencies are required?
The project uses pure Python with modules such as `dataclasses` and `enum`. No external APIs or databases are needed; mock data is used for testing.
@sanikacentric
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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A simulated travel booking system where agents (AirlineAgent, BookingAgent) communicate via MCP servers (Web and Database) to find the best flight, hotel, or rental car prices for customers. Designed as a clean Python demonstration of modular agent communication, dataclasses, and server handling.
Define common data structures (ServiceType, MCPType, AgentStatus enums), set up MCPServer instances, create AgentCards for each airline, connect AirlineAgent and BookingAgent, then run the booking agent's find_best_option() method to collect and compare prices. The main program in the README creates two airlines and one booking agent (TravelMaster) and outputs the cheapest flight options.
The project uses pure Python with modules such as `dataclasses` and `enum`. No external APIs or databases are needed; mock data is used for testing.
The BookingAgent sends price-check requests to all connected airline agents, collects their responses, sorts by price, and displays the cheapest deal.
MCPServer returns an error message when it is not available; the system handles this gracefully.
Yes, the design is scalable – you can create additional AgentCards and MCPServers for airlines, hotels, or rental cars.
Each agent has its own authentication token embedded in the AgentCard, and communication is done via internal Python method calls (no network transport in this simulation).
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