Private
flask-mcp-weather
2025-04-14
Flask App for MCP Demo
3 years
Works with Finder
0
Github Watches
0
Github Forks
0
Github Stars
Testing MCP Server
sudo yum install python3.12.x86_64
git clone https://github.com/manumaan/flask-mcp-weather.git
/usr/bin/python3.12 -m venv flask-mcp-weather
source ./flask-mcp-weather/bin/activate
cd flask-mcp-weather
pip install -r requirements.txt
Run as dev: python app.py
Run as production: gunicorn -w 4 -b 0.0.0.0:5000 app:app
相关推荐
🧑🚀 全世界最好的LLM资料总结（Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
🔥 1Panel provides an intuitive web interface and MCP Server to manage websites, files, containers, databases, and LLMs on a Linux server.
⛓️RuleGo is a lightweight, high-performance, embedded, next-generation component orchestration rule engine framework for Go.
A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.
Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.
😎简单易用、🧩丰富生态 - 大模型原生即时通信机器人平台 | 适配 QQ / 微信（企业微信、个人微信）/ 飞书 / 钉钉 / Discord / Telegram / Slack 等平台 | 支持 ChatGPT、DeepSeek、Dify、Claude、Gemini、xAI、PPIO、Ollama、LM Studio、阿里云百炼、火山方舟、SiliconFlow、Qwen、Moonshot、ChatGLM、SillyTraven、MCP 等 LLM 的机器人 / Agent | LLM-based instant messaging bots platform, supports Discord, Telegram, WeChat, Lark, DingTalk, QQ, Slack
Reviews
2.5
(2)
user_s6ghbH5U
2025-04-24
Flask-mcp-weather is an amazing tool for integrating weather data into your Flask applications. Developed by manumaan, it offers a seamless way to fetch and display weather information using a clean and easy-to-understand interface. I found the installation straightforward, and the documentation was extremely helpful in getting started. Highly recommend for any developer looking to add real-time weather updates to their projects!
user_sXnZO4je
2025-04-24
I have been using flask-mcp-weather by manumaan, and it has completely transformed how I track weather data. The seamless integration with Flask applications makes it incredibly easy to set up and use. The accuracy of the weather reports is impressive, and the documentation is clear and helpful. Highly recommended for any developer looking to add weather tracking to their Flask projects!