METAR

v0.1.0Analyticsstable

MCP server for METAR/TAF aviation weather data

io-github-daedalus-mcp-metarmcpai-integration
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What is METAR?

METAR is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for metar/taf aviation weather data

MCP server for METAR/TAF aviation weather data

This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • MCP server for METAR/TAF aviation weather data

Use Cases

Get METAR and TAF aviation weather data for flight planning.
Access real-time aviation weather information.
Community

Maintainer

LicenseMIT
Languagepython
Versionv0.1.0
UpdatedMar 28, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

PIP

pip install mcp-metar

Manual Installation

pip install mcp-metar

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about METAR

What is METAR?

METAR is a Model Context Protocol (MCP) server that mcp server for metar/taf aviation weather data It connects AI assistants to external tools and data sources through a standardized interface.

How do I install METAR?

Install via pip with: pip install mcp-metar. Then configure your AI client to connect to this MCP server.

Which AI clients work with METAR?

METAR works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is METAR free to use?

Yes, METAR is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Analytics MCP Servers

Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "io-github-daedalus-mcp-metar": { "command": "pip", "args": ["install", "mcp-metar"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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