Notamify MCP: Integrating Real-Time NOTAM Intelligence with AI Agents

Hosted connector update: Connect your existing Notamify account through Claude's Notamify listing or the ChatGPT and Codex plugin, or use the setup guide. Connector packages and downloads are available for the hosted service. Read Your AI Agent, Connected to Notamify for an overview.

We're excited to introduce Notamify MCP (Model Context Protocol), a groundbreaking integration that brings real-time NOTAM data and Notamify's powerful Atomic Elements directly into AI agent workflows. Agents can retrieve current notices and their structured context inside your own workflows.

What is Notamify MCP?

Notamify MCP is a Model Context Protocol integration that allows AI agents to access and analyze:

• Real-time NOTAMs from any airport or FIR worldwide
• Atomic Elements (Affected Elements) showing which runways, taxiways, and approaches are impacted

Interpretations are informational. Use current official aviation sources for operational decisions.

See Notamify MCP in Action

Watch an AI agent work with real-time NOTAM data and Atomic Elements:

This demo showcases an AI agent using Notamify MCP to analyze flight routes and check real-time NOTAMs.

Getting Started

For the hosted service, use https://mcp.notamify.com/mcp and sign in with your existing Notamify account. Start with Notamify in the Claude directory, the Notamify plugin for ChatGPT and Codex or the connected-apps manual. The connector repository includes installation instructions for Codex and Claude Code; downloadable packages are also available.

The original self-hosted integration remains available as open source:

Repository: https://github.com/skymerse/notamify-mcp

The repository includes:

• Complete MCP server implementation
• Documentation and setup guides

Start Building with Notamify API

Ready to integrate real-time NOTAM intelligence into your AI agents?

Start Now with Notamify API →

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Notamify MCP is part of our mission to make aviation intelligence accessible, actionable, and automated. By bridging the gap between traditional NOTAM systems and modern AI capabilities, we're helping build the future of intelligent flight operations.