Multi Agent Weather
БесплатноНе проверенMulti Agent Weather MCP Server, understands natural language and outputs touring advice based on weather data.
Описание
Multi Agent Weather MCP Server, understands natural language and outputs touring advice based on weather data.
README
This project is a Multi-Agent Weather MCP Coordination Platform Server designed to facilitate coordinated weather data processing, control, or simulation with multiple autonomous agents. It serves as a robust backend for orchestrating meteorological computations, simulations, or data aggregation through distributed agent systems.
Features
- Multi-Agent Architecture: Supports concurrent operation and coordination of several agents for weather-related tasks.
- Weather Data Processing: Acquires, processes, and analyzes meteorological data from multiple sources.
- Extensible Communication: Plugin-friendly or API-driven agent communication framework (customizable for additional agent types).
- Modular Components: Easily integrate new functionalities (data sources, algorithms, or output formats).
- Real-time & Batch Modes: Choose between streaming/live data or scheduled batch processing.
Getting Started
Prerequisites
- Python >= 3.X
- Required Python libraries (see requirements.txt or appropriate install file)
Installation
Clone this repository:
git clone https://github.com/feroake/Multi_Agent_Weather_MCP_server.git
cd Multi_Agent_Weather_MCP_server
Install dependencies:
pip install -r requirements.txt
Configuration
- Edit
config.yamlor a similar configuration file to set agent parameters, data sources, API keys, or other environment settings. - Environment variables may be needed for secrets like API keys.
Running the Server
To launch the Multi-Agent Weather MCP Server:
python main.py
Or use any provided start script.
Usage
- Access the server via HTTP API, CLI, or another frontend specified in this project.
- Integrate custom agents by extending the agents module or using the plugin interface.
Project Structure
Multi_Agent_Weather_MCP_server/
├── agents/ # Core agent implementations
├── tests/ # Automated tests
├── main.py # Main server entry point
├── requirements.txt # Python dependencies
├── config.yaml # Server and agent configuration (example)
└── README.md
Contributing
Contributions and suggestions are welcome! Please open an issue or submit a pull request. For major changes, propose your ideas in an issue to discuss first.
- Fork the repo
- Create your feature branch (
git checkout -b feature/my-feature) - Commit your changes (
git commit -am 'Add new feature') - Push to the branch (
git push origin feature/my-feature) - Open a Pull Request
License
Distributed under the MIT License. See LICENSE for details.
Contact
- Author: feroake
- For support or inquiries, please open a GitHub issue.
Установка Multi Agent Weather
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/feroake/Multi_Agent_Weather_MCP_serverFAQ
Multi Agent Weather MCP бесплатный?
Да, Multi Agent Weather MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Multi Agent Weather?
Нет, Multi Agent Weather работает без API-ключей и переменных окружения.
Multi Agent Weather — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Multi Agent Weather в Claude Desktop, Claude Code или Cursor?
Открой Multi Agent Weather на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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