MCP Flight Search

Name: MCP Flight Search
Author: arjunprabhulal

@arjunprabhulal

リポジトリホームページ

MCP Flight Search について

MCP Server implementation for the Model Context Protocol (MCP) enabling AI tool usage - Realtime Flight Search

#ai #mcp #serpapi #genai #model-context-protocol #mcp-server #mcp-tools #fligh-search

基本情報

カテゴリ

検索

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

arjunprabhulal

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-flight-search": {
      "command": "python",
      "args": [
        "main.py",
        "--connection_type",
        "http"
      ]
    }
  }
}

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 MCP Flight Search?

MCP Flight Search is a flight search server built with the Model Context Protocol (MCP). It integrates with SerpAPI Google Flights to provide one-way and round-trip flight search tools that can be used by Claude and other MCP‑compatible AI models. It is intended for developers who want to enable flight‑search capabilities in their MCP‑based agents.

How to use MCP Flight Search?

Install the package via pip install mcp-flight-search, then set the SERP_API_KEY environment variable. Start the server with mcp-flight-search --connection_type http (or python main.py --connection_type http). Optionally specify a custom port with --port. The server exposes two MCP tools: search_flights_tool (for flight searches) and server_status (to check the server’s health).

Key features of MCP Flight Search

MCP‑compliant tools for flight search
Integration with SerpAPI Google Flights
Support for one‑way and round‑trip flights
Rich logging with structured output
Modular, maintainable code structure
Configurable HTTP transport and port

Use cases of MCP Flight Search

Enable an AI assistant to search for flights in real time
Build a travel‑planning chatbot that can look up one‑way or round‑trip options
Check the health of a flight search server before making requests
Integrate flight data into a custom MCP‑based workflow

FAQ from MCP Flight Search

What is Model Context Protocol (MCP)?

MCP is a standard developed by Anthropic that enables AI models to use tools by defining a structured format for tool descriptions, calls, and responses. This project implements MCP tools that can be used by Claude and other MCP‑compatible models.

How do I install MCP Flight Search?

You can install it from PyPI with pip install mcp-flight-search, or install in development mode from the project directory with pip install -e ..

How do I set up the required API key?

Set the SerpAPI key as an environment variable: export SERP_API_KEY="your-api-key-here".

What tools does MCP Flight Search provide?

Two tools are available: search_flights_tool (parameters: origin, destination, outbound_date, optional return_date) and server_status (no parameters) to check if the server is running.

How do I start the server and change the port?

Start with mcp-flight-search --connection_type http or python main.py --connection_type http. To use a custom port, add --port 5000 (or your preferred port). The server uses HTTP transport.

「検索」の他のコンテンツ

mcp-omnisearch

spences10

🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi, Exa), AI tools (Kagi FastGPT, Exa, Linkup), and content extraction services (Firecrawl, Tavily, Kagi). Includes GitHub search. All through a single interface.

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