Flight Finder MCP
Enables Claude to search and compare flights across multiple providers (Skyscanner, Google Flights, Kiwi.com) with smart caching, parallel queries, and flexible filtering.
README
Flight Finder MCP
A production-grade MCP server that enables Claude to search and compare flights across multiple providers directly from your conversations.

Features
- Multi-Provider Search - Aggregates results from Skyscanner, Google Flights, and Kiwi.com
- Smart Caching - Reduces API calls with configurable TTL caching
- Parallel Queries - Searches multiple providers simultaneously with deduplication
- Flexible Filtering - Filter by price, stops, airlines, cabin class
- Result Analysis - Get recommendations for cheapest, fastest, and best value flights
Installation
Prerequisites
- Python 3.11+
- Claude Desktop or any MCP-compatible client
- At least one flight API key (Skyscanner, Google Flights, or Kiwi)
Setup
- Clone the repository:
git clone https://github.com/yourusername/FlightFinderMCP.git
cd FlightFinderMCP
- Install dependencies:
pip install -e .
- Configure environment variables:
cp .env.example .env
# Edit .env and add your API key(s)
- Add to Claude Desktop config (
claude_desktop_config.json):
{
"mcpServers": {
"flight-finder": {
"command": "flight-finder-mcp",
"env": {
"FLIGHT_FINDER_SKYSCANNER_API_KEY": "your_key_here"
}
}
}
}
Usage
Once configured, you can ask Claude to search for flights naturally:

Claude will use the MCP tools to:
- Search across multiple flight providers
- Compare prices and flight times
- Filter by your preferences (non-stop, cabin class, etc.)
- Recommend the best options

Example Conversation

Available Tools
The server exposes three MCP tools:
search_flights- Search for flights between airportsget_cache_stats- View cache performance metricsclear_cache- Clear cached search results
Configuration
Key environment variables:
| Variable | Description | Default |
|---|---|---|
FLIGHT_FINDER_SKYSCANNER_API_KEY |
Skyscanner API key | - |
FLIGHT_FINDER_GOOGLE_FLIGHTS_API_KEY |
Google Flights API key | - |
FLIGHT_FINDER_KIWI_API_KEY |
Kiwi.com API key | - |
FLIGHT_FINDER_CACHE_TTL_SECONDS |
Cache duration | 300 |
FLIGHT_FINDER_MAX_SEARCH_RESULTS |
Result limit per search | 50 |
FLIGHT_FINDER_LOG_LEVEL |
Logging level | INFO |
See .env.example for all available options.
Architecture
Built using clean architecture principles:
- Domain Layer - Flight entities, search criteria, value objects
- Application Layer - Use cases for search, filtering, recommendations
- Infrastructure Layer - API clients, caching, rate limiting
- Presentation Layer - MCP server handlers and schemas
Uses the Result monad pattern for error handling and Pydantic for validation.
Development
Running Tests
# Install dev dependencies
pip install -e ".[dev]"
# Run tests
pytest
# With coverage
pytest --cov=src/flight_finder
Code Quality
# Format code
black src tests
isort src tests
# Type checking
mypy src
# Linting
ruff check src tests
License
MIT
Contributing
Contributions welcome! Please open an issue or PR.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。