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Aviation Stack MCP

@mohitatust

About Aviation Stack MCP

This is a mcp server for aviationstack flight APIs

Basic information

Category

Other

License

MIT license

Runtime

python

Transports

stdio

Publisher

mohitatust

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "aviation_stack_mcp": {
      "command": "python",
      "args": [
        "main.py",
        "--connection_type",
        "stdio"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Aviation Stack MCP?

This server provides MCP tools for interacting with the Aviation Stack API, enabling AI models like Claude to search flights by IATA number and detect duplicate flights. It is built for developers integrating aviation data into AI assistants.

How to use Aviation Stack MCP?

Install via pip install aviation-stack-mcp, set the AVIATION_STACK_API_KEY environment variable with a key from aviationstack.com, then start the server with aviation-stack-mcp --connection_type stdio.

Key features of Aviation Stack MCP

  • Flight search by IATA number
  • Flight duplication finder

Use cases of Aviation Stack MCP

  • An AI assistant can look up a flight’s status given its IATA code.
  • Detect when the same flight appears multiple times in search results.

FAQ from Aviation Stack MCP

What tools does Aviation Stack MCP provide?

It provides tools for flight search by IATA number and a flight duplication finder.

How do I get an API key?

Register and fetch your API key from the aviation stack website at https://aviationstack.com/.

How do I set the API key?

Set the AVIATION_STACK_API_KEY environment variable, e.g., export AVIATION_STACK_API_KEY="your-api-key-here".

How do I start the server?

Run aviation-stack-mcp --connection_type stdio or python main.py --connection_type stdio.

What is the Model Context Protocol?

MCP is a standard by Anthropic for enabling AI models to use tools through structured tool descriptions, calls, and responses.

Comments

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