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MCP_Server_Implementation

Verified Safe

by Priyanka32-gif

Overview

An AI agent interacts with a weather information service to fetch active weather alerts for US states and can echo messages as a resource.

Installation

Run Command
uv run --with mcp[cli] mcp run D:\VS code project\MCP_Implementation\fastmcp\mcp_project\server\weather.py

Environment Variables

  • GROQ_API_KEY

Security Notes

The project uses httpx for network requests to a known API (weather.gov) and handles exceptions. API keys (GROQ_API_KEY) are loaded from environment variables using dotenv, which is a good security practice. No 'eval' or other directly dangerous functions are used. The server launch command in server/weather.json points to a local Python script, reducing the risk of executing arbitrary external code. User agent is hardcoded but not a secret.

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Stats

Interest Score0
Security Score9
Cost ClassMedium
Avg Tokens1000
Stars0
Forks0
Last Update2025-11-20

Tags

AI AgentWeather APILanguage ModelMCPDeveloper Tool