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Real-time Flight Search MCP

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This MCP enables AI models to perform real-time flight searches through structured tools, integrating with SerpAPI for fetching flight data and supporting various departure and return configurations.
Added on:
Created by:
Apr 07 2025
Arjun Prabhulal
Developer Tools
Research And Data
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#ai
#mcp
#serpapi
#genai
#model-context-protocol
#mcp-server
#mcp-tools
#fligh-search
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Real-time Flight Search MCP

Real-time Flight Search MCP


0 Reviews

11


0
Real-time Flight Search MCP
This MCP enables AI models to perform real-time flight searches through structured tools, integrating with SerpAPI for fetching flight data and supporting various departure and return configurations.
Added on:
Created by:
Apr 07 2025
Arjun Prabhulal
Developer Tools
Research And Data
AI Chatbot
#ai
#mcp
#serpapi
#genai
#model-context-protocol
#mcp-server
#mcp-tools
#fligh-search
...
Overview
Features & Applications
FAQs
Developer
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Featured

What is Real-time Flight Search MCP?

The MCP Flight Search is a server implementation following the Model Context Protocol (MCP), allowing AI models to efficiently conduct flight searches. It offers tools to query flight data based on parameters like airports, dates, and trip types, integrating with external APIs for real-time data. Designed for flexible use, it supports different trip modes, detailed logging, and structured responses. Its modular architecture facilitates customization and maintenance for developers aiming to embed flight search capabilities within AI workflows.

Who will use Real-time Flight Search MCP?

    
  • AI developers
  • 
  • Travel booking platforms
  • 
  • Research institutions analyzing flight data
  • 
  • Developers building travel assistants

How to use the Real-time Flight Search MCP?

    
  • Step 1: Install the MCP flight search package from PyPI using pip.
  • 
  • Step 2: Set the necessary environment variables, such as the API key for SerpAPI.
  • 
  • Step 3: Run the server with the command `mcp-flight-search --connection_type http`.
  • 
  • Step 4: Use MCP-compatible AI models or tools to send flight search requests with specified parameters.
  • 
  • Step 5: Retrieve structured flight data responses for further processing or presentation.

Real-time Flight Search MCP's Core Features & Benefits

The Core Features
    
  • search_flights_tool
  • 
  • server_status
The Benefits
    
  • Enables real-time flight search via AI models
  • 
  • Supports multiple trip types and parameters
  • 
  • Structured, MCP-compliant API for easy integration
  • 
  • Modular design for customization
  • 
  • Supports external API integration for fresh data

Real-time Flight Search MCP's Main Use Cases & Applications

    
  • Embedding flight search in virtual travel assistants
  • 
  • Automated flight comparison tools
  • 
  • Travel data research and analysis
  • 
  • Custom travel booking applications

FAQs of Real-time Flight Search MCP

What is the MCP Flight Search?
How do I install it?
What are the required environment variables?
How do I run the server?
Which APIs does it use?
Can I customize the search parameters?
Does it support round-trip flights?
Is it MCP compatible?
What are the main benefits?
Where can I find its source code?

Developer

  • arjunprabhulal
  • https://medium.com/@arjun-prabhulal
  • in/arjun-prabhulal
  • @ArjunPrabhulal

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