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Agent2AgentProtocol_MCP_servers

@sanikacentric

Agent2AgentProtocol_MCP_servers について

概要はまだありません

基本情報

カテゴリ

その他

ランタイム

jupyter notebook

トランスポート

stdio

公開者

sanikacentric

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Agent2AgentProtocol_MCP_servers?

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.

How to use Agent2AgentProtocol_MCP_servers?

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.

Key features of Agent2AgentProtocol_MCP_servers

  • Defines standard terms via Enums (ServiceType, MCPType, AgentStatus)
  • Uses dataclass AgentMessage for structured agent communication
  • MCPServer handles backend requests (Web or Database types)
  • AgentCard represents service providers with auth tokens
  • AirlineAgent links agent card to airline operations
  • BookingAgent queries multiple airlines and finds best prices

Use cases of Agent2AgentProtocol_MCP_servers

  • Demonstrating agent-to-agent communication for flight price comparison
  • Simulating a travel booking portal with multiple airline providers
  • Testing structured message passing and error handling in offline servers
  • Extending to real-time bookings, payment systems, or adding rental services

FAQ from Agent2AgentProtocol_MCP_servers

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.

How does the booking agent find the best option?

The BookingAgent sends price-check requests to all connected airline agents, collects their responses, sorts by price, and displays the cheapest deal.

What happens if a server is offline?

MCPServer returns an error message when it is not available; the system handles this gracefully.

Can I add more airlines or services?

Yes, the design is scalable – you can create additional AgentCards and MCPServers for airlines, hotels, or rental cars.

What transports or authentication are used?

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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