Variflight MCP Server Integration

What does “Variflight” MCP Server do?

The Variflight MCP Server is a Model Context Protocol (MCP) server implementation designed to provide seamless integration with VariFlight’s flight information services. By acting as a bridge between AI assistants and the Variflight API, this server enables AI-driven workflows to access real-time and historical aviation data. Developers can use the Variflight MCP Server to perform tasks such as searching for flights, obtaining weather forecasts for airports, tracking real-time aircraft locations, and retrieving detailed flight comfort metrics. This integration streamlines the process of querying aviation data, supporting intelligent assistants and applications in delivering accurate, up-to-date information for enhanced user and development experiences.

List of Prompts

No prompt templates are mentioned in the repository.

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List of Resources

No explicit resources are documented in the repository.

List of Tools

• searchFlightsByDepArr
  Search for flights between two airports using their IATA codes and a specified date.
• searchFlightsByNumber
  Find flight information by providing a flight number and date.
• getFlightTransferInfo
  Retrieve possible transfer options between cities for a given date.
• flightHappinessIndex
  Get detailed comfort and happiness metrics for a specific flight.
• getRealtimeLocationByAnum
  Track the real-time location of an aircraft using its registration number.
• getFutureWeatherByAirport
  Obtain a 3-day weather forecast for a specific airport.
• searchFlightItineraries
  Search for purchasable flight options and get the lowest prices for specified routes and dates.

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Use Cases of this MCP Server

• Flight Search and Booking
  Quickly search for flights between two airports, or by flight number, streamlining the flight booking process for travel applications and AI assistants.
• Real-time Flight Tracking
  Enable developers to build tools that track aircraft in real time using registration numbers, ideal for logistics, aviation apps, and customer service bots.
• Travel Planning and Transfers
  Retrieve transfer and connection options between cities, helping users optimize their travel itineraries.
• Flight Comfort Metrics
  Access comfort and happiness indices for flights, allowing integration into travel recommendation systems and passenger experience tools.
• Aviation Weather Integration
  Fetch up-to-date weather forecasts for airports, essential for flight planning, delay prediction, and operational decision-making.

How to set it up

Windsurf

1. Prerequisite: Ensure Node.js is installed.
2. Open Configuration: Locate your mcpServers configuration file.
3. Add Variflight MCP Server: Insert the following configuration:

   {
     "mcpServers": {
       "variflight": {
         "command": "npx",
         "args": [
           "-y",
           "@variflight-ai/variflight-mcp"
         ],
         "env": {
           "VARIFLIGHT_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

4. Save and Restart: Save the file and restart Windsurf.
5. Verify Setup: Test by invoking a Variflight tool.

Claude

1. Prerequisite: Node.js installed and valid Variflight API key.
2. Open Configuration: Edit the MCP servers section in Claude’s config.
3. Insert Configuration: Add:

   {
     "mcpServers": {
       "variflight": {
         "command": "npx",
         "args": [
           "-y",
           "@variflight-ai/variflight-mcp"
         ],
         "env": {
           "VARIFLIGHT_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

4. Save and Restart: Save config and restart Claude.
5. Verify: Confirm Variflight tools are available.

Cursor

1. Prerequisite: Node.js and Variflight API key.
2. Edit Configuration: Open Cursor’s mcpServers config.
3. Add Variflight:

   {
     "mcpServers": {
       "variflight": {
         "command": "npx",
         "args": [
           "-y",
           "@variflight-ai/variflight-mcp"
         ],
         "env": {
           "VARIFLIGHT_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

4. Save & Restart: Save changes and restart Cursor.
5. Verify: Use a Variflight tool to check installation.

Cline

1. Prerequisite: Node.js installed, obtain Variflight API key.
2. Edit Configuration: Open MCP server config.
3. Add Server Configuration:

   {
     "mcpServers": {
       "variflight": {
         "command": "npx",
         "args": [
           "-y",
           "@variflight-ai/variflight-mcp"
         ],
         "env": {
           "VARIFLIGHT_API_KEY": "your_api_key_here"
         }
       }
     }
   }
   

4. Save and Restart: Save your changes and restart Cline.
5. Verify: Ensure Variflight tools are listed.

Securing API Keys

Always store your Variflight API key securely using environment variables, not hard-coding them.
Example:

{
  "env": {
    "VARIFLIGHT_API_KEY": "your_api_key_here"
  },
  "inputs": {
    "api_key": {
      "type": "env",
      "key": "VARIFLIGHT_API_KEY"
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "variflight": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “variflight” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

| Roots Support | ⛔ | Not mentioned |

Based on the tables above, the Variflight MCP Server is practical and well-documented for tool integration, but it lacks explicit resources, prompt templates, and advanced MCP features like roots and sampling. For aviation/flight data tasks, it’s robust, but for broader MCP use-cases, it’s a bit limited.

MCP Score